Sql jobs in United Kingdom - Page 7

GET THE FUTURE YOU WANT! Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. YOUR ROLE We are seeking a highly experienced Data Modeller with deep expertise in the Lloyds of London insurance market. The ideal candidate will be responsible for designing implementing and optimizing complex data models that support underwriting claims pricing and regulatory reporting processes. This role requires a strong understanding of insurance data structures market Specific standards and advanced data architecture principles YOUR PROFILE • Data Modelling Architecture, • Design and maintain conceptual logical and physical data models for insurance systems, • Ensure alignment with Lloyds market standards including Core Data Record CDR and Blueprint Two initiatives, • Develop data dictionaries metadata and governance frameworks, • Data Integration Transformation, • Collaborate with business analysts actuaries and IT teams to integrate data from multiple sources policy claims bordereaux exposure, • Optimize data flows for reporting analytics and regulatory compliance, • Stakeholder Engagement, • Work closely with underwriters brokers and market participants to understand data requirements, • Provide subject matter expertise on Lloyds data standards and market processes, • Quality Compliance, • Implement data quality checks and validation rules, • Ensure compliance with Lloyds market regulations GDPR and Solvency II requirements, • Technical Expertise, • Good experience in data modelling within the Lloyds of London or London Market insurance sector, • Proficiency in ER modelling relational and dimensional modelling and data warehousing, • Strong SQL skills and experience with tools such as ERwin PowerDesigner or similar, • Domain Knowledge, • Deep understanding of Lloyds market processes including placement claims and regulatory reporting, • Familiarity with ACORD standards and Lloyds Blueprint Two data initiatives, • Analytical Communication Skills, • Ability to translate complex business requirements into robust data models, • Excellent stakeholder management and communication skills ABOUT CAPGEMINI Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 350,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion. Get the future you want |

Data Analyst London – £55,000 + benefits This is an excellent opportunity for a mid‑level Data Analyst who enjoys variety, ownership, and impact. You’ll work at the heart of a growing data function, helping shape campaigns, improve forecasting, and influence key decisions across the business. If you want a role with real accountability, breadth, and the chance to become a trusted analytical partner — this is it. The Company They are a specialist agency with over two decades of experience helping major brands connect with young audiences through insight‑led, socially impactful work. Data underpins everything they do — from campaign planning to client reporting to the development of a major schools‑focused digital platform. You’ll be joining a small, collaborative data team where autonomy, accuracy, and clear communication really matter. The Role As a Data Analyst, you will operate as the central triage point for data questions across the agency. Day‑to‑day, you will: • Analyse client‑provided datasets, often in Excel, to uncover insight and measure campaign performance., • Support forecasting and modelling for school‑based and consumer campaigns — including expected registrations, timelines, and channel impact., • Work closely with their relational database to extract, clean, and manipulate data using SQL., • Build and refine Power BI dashboards to improve visibility and reporting accuracy., • Ensure data quality and uphold strong QA standards across all outputs., • Explain analytical approaches, methods, and assumptions to non‑technical stakeholders. Your Skills & Experience Core Requirements • 3–5 years’ experience in a Data Analyst role., • Strong background in CRM, customer data, or campaign‑focused analytics., • Agency, marketing, or similarly fast‑paced environment experience., • Advanced Excel (including lookups, conditional formatting, visualisation)., • Confident SQL skills (joins, selects, manipulation)., • Power BI experience for dashboards and reporting., • Strong data storytelling and the ability to communicate insights clearly., • Python or R interest/experience., • Exposure to forecasting beyond simple historical extrapolation., • Familiarity with UK education structures or previous work involving schools. What They Offer • £55,000 base salary, • Hybrid working with at least two days per week in their London office., • The chance to join a growing data function with excellent long‑term progression., • High visibility, meaningful responsibility, and a genuinely collaborative culture. HOW TO APPLY: • Apply by sending your CV to Joe by the link below

LEAD DATA ANALYST (Marketing/Agency) UP TO £60,000 LONDON – HYBRID (2X PER WEEK IN OFFICE) ABOUT THE BUSINESS This is a brand and social impact agency with over 20 years’ experience helping organisations connect meaningfully the UK and Ireland education systems! THE ROLE This is a varied, fast-paced, agency-style Lead Analyst role combining hands-on analysis, forecasting, CRM insight, and increasing client-facing engagement over time. KEY RESPONSIBILITIES Analysis & Insight • Act as a triage point for incoming data questions and analysis requests., • Analyse client-provided datasets in multiple formats, often working with complex Excel files., • Support campaign forecasting and modelling, including predicting school registrations., • Advise on channels, timelines, and expected outcomes based on data-led assumptions., • Ensure consistently high standards of data quality, accuracy, and validation., • Confidently explain methodology and analytical approach for high-impact work., • Work with a relational database supporting an education-focused partnership product., • Use SQL-driven analysis to feed Power BI dashboards and reporting., • Select appropriate tools and techniques depending on data structure and campaign needs. SKILLS & EXPERIENCE REQUIRED • Advanced Excel skills, • SQL experience (joins, selects, data manipulation), • Comfortable working with relational databases, • Power BI for reporting and data visualisation, • Exposure to forecasting beyond basic historical analysis, • Mentoring experience WHY APPLY? • Salary up to £60,000, • Join a purpose-led agency where data directly influences real-world outcomes., • Hybrid working

An international energy trading and services company, focused on renewables seeks a Power Market Strategy Manager to join its growing team. With operations across the UK, Ireland & wider Europe, the company provides cutting-edge trading services to a growing portfolio of renewable energy assets. The Role: The successful candidate will lead a team of analysts to structure and value energy contracts including PPAs, RtMs, and BESS agreements. This strategic role involves close collaboration with commercial and analytics teams to develop pricing frameworks, optimise risk-adjusted returns, and support expansion across European markets. Team Leadership & Development • Manage and mentor a team of pricing analysts, ensuring high-quality output and professional growth., • Present pricing insights to senior leadership, encouraging constructive challenge and continuous improvement. Pricing Strategy & Modelling • Lead the development and enhancement of pricing models, including historical, Monte Carlo, and fundamental approaches (e.g. PLEXOS)., • Maintain transparent pricing frameworks aligned with risk appetite and commercial priorities., • Monitor market and regulatory changes to refine pricing strategies and identify new product opportunities. Collaboration & Structuring • Work closely with Originators to design and structure bespoke commercial offers, including PPAs, hedging instruments, and tolling agreements., • Develop pricing frameworks for complex structures such as co-located assets (e.g. BESS with solar/wind) and merchant-exposed revenue streams., • Leverage internal analytics to enhance BESS valuation and optimisation. Key Requirements: • 5–10 years’ experience in energy markets, • Strong background in renewable pricing and electricity systems, • Proficiency in Excel, SQL, Python; experience with dispatch models (e.g. PLEXOS), • Leadership and mentoring capabilities Desirable: • Experience with BESS structures and German RtM agreements, • Track record in new product development or market entry

Analytics Engineering Manager Location - London Hybrid 3 days in office Salary up to £100,000 base plus bonus We are working exclusively with a fast growing mobile advertising technology business backed by a global marketing group. They build premium mobile ad experiences for some of the world’s biggest brands using bespoke creative technology and transparent performance analytics. The business has scaled rapidly over the last year and is now investing in senior data leadership to move from manual reporting into a more automated, product driven analytics function. This role sits at the heart of product and engineering and is focused on enabling teams across the business through scalable reporting, data automation, and trusted insight. The Role You will lead the data and analytics function with ownership of reporting, pipelines, and data quality across the organisation. This is a hands on leadership role with responsibility for delivery, stakeholder alignment, and evolving the data platform. You will manage a small team of 2 including 1 Analytics professional and 1 Data Engineer who owns the data warehouse and data quality. The focus of the team is building scalable solutions rather than BAU support. This role reports directly into the CPTO and works closely with Product and Engineering. Key Focus • Enable automation of reporting across the business, • Own dashboards and operational analytics, • Drive improvements in data quality, governance, and documentation, • Lead and mentor a growing data team, • Support digital transformation initiatives across product and engineering, • Act as the bridge between technical teams and commercial stakeholders Tech Environment • GCP and BigQuery, • SQL and Python, • Looker for reporting, • Modern data engineering and analytics tooling What We Are Looking For • Strong experience in data or analytics engineering, • People management or lead capacity, • Strong SQL and Python skills, • Experience working with cloud data platforms ideally GCP, • Background in product led or engineering driven environments, • Experience in high data volume industries, • Digital or data transformation experience is highly desirable, • AdTech experience is a nice to have but not essential, • Strong coaching and mentoring capability Interview Process 3 stages • Initial conversation with the CPTO, • Technical interview with the team, • Final stakeholder interviews

Propositions Manager (GTM Focused) 📍 City, London | Hybrid (3 days/week in office – Tue & Wed mandatory) We’re hiring a commercially sharp Propositions Manager to own the end-to-end launch of new and evolving propositions across a large-scale UK telco business. This role sits at the intersection of product, commercial, and customer experience, taking ideas from concept to launch and post-launch optimisation — with clear, measurable outcomes. What you’ll be doing: • Own GTM for new products and major changes across web & app (e.g. eSIM), • Build and own business cases: revenue, cost, churn, CLTV, • Design and optimise end-to-end customer journeys across the full lifecycle, • Turn customer insight, product vision, and CS feedback into a prioritised GTM backlog, • Partner closely with Product, Tech, Ops, CS, Legal/Compliance, Finance, and Data, • Lead launch planning, governance, UAT, go/no-go, rollout, and hypercare, • Track post-launch performance and iterate based on real commercial impact What we’re looking for: • Strong B2C GTM / product-commercial experience (must-have), • Background in subscription businesses (highly preferred), • Experience in regulated industries (telecoms ideal; fintech also relevant), • Commercial mindset with strong analytical skills (Excel, SQL), • Confident stakeholder manager who can push back and make data-led trade-offs, • Experience working in scale-up environments Why this role? • High-impact ownership of GTM in a 3M+ customer B2C business, • Genuine growth hire — scaling GTM capability, not backfilling, • Data-driven, experiment-friendly culture with strong post-launch analytics, • Close collaboration with Product, Commercial, and Operations leadership

Europe or Remote (Permanent/Contract) Key Responsibilities • Serve as a technical subject matter expert on Endur, providing guidance and support throughout the project lifecycle., • Lead the technical implementation of Endur solutions, including enhancements, system configuration, data migration and version upgrades., • Design and architect object-oriented Endur-based solutions that meet client needs and adhere to industry standards for scalability, robustness, maintainability, and integration with other components and systems in a technology landscape, • Collaborate with clients to determine technical requirements and drive technical change management initiatives., • Conduct analysis of existing systems and processes to identify areas for improvement., • Collaborate with cross-functional teams to ensure successful project delivery and client satisfaction., • Provide guidance and training to junior consultants on Endur functionality and ETRM/CTRM topics., • Provide industry and functional advisory as needed to ensure alignment with client goals., • Maintain effective communication with clients and internal stakeholders, managing expectations., • Prepare solution and technical design documentation and oversee quality of other technical consultants' outputs. Skills • Endur Development: Considerable experience in developing and customizing JVS and / or OpenComponents (Java or .NET C#) to extend Endur functionality., • Connex Integration: Expertise in integrating Endur with external systems and data sources using Connex, ensuring seamless data exchange and interoperability., • Oracle and MS SQL Server Database Management: Strong understanding of Oracle and MS SQL Server databases, including database design, administration, optimisation, and performance tuning., • .NET C# and / or Java Development: Proficiency in .NET C# and Java development for building custom applications, modules, and integrations within the Endur ecosystem., • Endur Gateways and Accelerators: Demonstrate in-depth knowledge of Endur Gateways and Accelerators., • Endur Grid: Demonstrate in-depth knowledge of Endur Grid design and configuration., • Endur Modules: Demonstrate good working knowledge in key modules of Endur and commodity/energy operations., • Endur Configuration: Proficiency in configuring Endur modules, workflows, and business processes to align with client requirements and industry best practices., • Jira, DevOps, GitHub: Experience in utilizing Jira for project management, DevOps methodologies for continuous integration and deployment, and GitHub for version control and collaboration., • Cloud Platforms (AWS, Azure): Familiarity with cloud platforms such as AWS (Amazon Web Services) and / or Azure, including knowledge of cloud services and infrastructure for hosting, scaling, and managing Endur environments. Knowledge and experience of the ION Cloud and IEM tools is also desirable., • Third Party Tools: Knowledge and experience of test automation and environment management tools., • Excellent interpersonal skills and stakeholder management., • Good written and verbal communication skills., • Multi-tasking and Project Management skills., • Strong organisational & analytical skills and attention to detail., • Ability to thrive in a fast-paced, detailed oriented environment and work independently or in a team. Required Experience • Bachelor's degree in Computer Science, Finance, Accounting, Engineering, Economics, or equivalent experience in a related field., • 7+ years hands-on with Endur as a senior / lead developer or technical specialist with working knowledge of V19 and above., • At least 10+ years of industry work experience with 3+ years of experience in comparable consulting services., • Should have been a key part of at least two large engagements for Endur end-to-end implementation or upgrade projects in Gas, Power, Renewables, LNG, Agriculture or Crude and Refined Products., • Deep understanding of various functional areas and relevant modules of Endur., • Experience in conducting comprehensive testing and quality assurance activities to validate the functionality, performance, and reliability of Endur solutions., • Worked as part of a cross-cultural/geographical team including flexibility to support multiple time zones when necessary., • Worked as part of a project team structure and delivered results with limited guidance, • Ability to travel to onsite client locations for limited time as per project requirement. If you think you have the necessary skills and experience to excel as a capSpire Consultant we are keen to speak with you.

Job Title: Financial Analyst Location: 3 days on site in central London Remuneration: £50.00/hour Contract Details: Temporary until 29th September 2026 Responsibilities: • Build and maintain complex financial models to track spending, planning, and forecasting across product and finance areas., • Identify and implement process improvements while measuring their effectiveness., • Analyse data to uncover trends, providing actionable insights to drive operational excellence and revenue growth., • Manage project planning, status reporting, and documentation, ensuring effective collaboration across teams., • Guide team members in risk mitigation strategies, escalating issues as necessary., • Contribute to community and team engagement initiatives, including recruitment and organising diversity events., • Review datasets to extract relevant information and generate impactful insights for leadership., • Prepare and present financial reports, making recommendations for product areas and market strategies. Minimum Role Qualifications: • Proficient communication skills., • Strong business partnering capabilities., • Knowledge of financial performance metrics and financial modeling., • Solid understanding of accounting principles and stakeholder management., • Technical skills in Finance or FP&A, along with data analytics., • Excellent problem-solving abilities and finance risk management skills., • Strong financial technical aptitude., • Robust analytical skills 📊, • Data and SQL experience 💻, • Strong verbal and written communication skills ✍️, • Proficient in document/spreadsheet management 📑, • Experience in process improvement 🔄, • Background in core operations management, including budget and governance 📈 Working Schedule: Hybrid (On-site: Tuesday, Wednesday, Thursday; Remote: Monday and Friday) Language Required: English Join our client’s dynamic team and leverage your financial expertise to contribute to impactful projects in the Information Technology & Telecommunications sector! If you are ready to make a difference, apply today! 🚀 Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.

Valuation Quantitative Analyst – London, UK The GFO-X Group is a global market infrastructure provider focused on regulated digital asset derivatives. With operations in London, Hong Kong, and Abu Dhabi, the Group offers global access to institutional-grade execution and clearing services. GFO-X UK is the first FCA authorised, centrally cleared Multilateral Trading Facility (MTF) for digital asset derivatives, with all contracts cleared via LCH DigitalAssetClear. Backed by M&G Investments and supported by leading financial institutions, GFO-X Group is building the next generation of regulated infrastructure to integrate digital assets into mainstream finance, with a focus on transparency, risk management, and collateral mobility. GFO-X is seeking a Valuation Quantitative Analyst to join our growing team in London, UK. Role: • Oversee and actively contribute to the orderly end-of-day, intraday, and near–real-time valuation of instruments for our central clearing counterparty and matching engines, • Monitor the quantitative computations underlying valuation results and critically assess market inputs to the models, • Supervise the collection and recording of market data from external exchanges, as well as the calculation of indices, • Analyze internal and external market data to identify market trends and potential trading opportunities, • Enhance interpolation and curve-fitting routines to ensure a smooth, accurate volatility surface, and improve pricing methodologies for both liquid and illiquid instruments, • Collaborate in the development and enhancement of derivative risk models, • Continuously refine models through teamwork, research, and ongoing development, • Contribute to research papers and analytical publications based on proprietary market data and crypto derivatives, for both internal and external stakeholders Requirements: • 5-7 years of professional experience in a quantitative or data analytics role, • Graduate degree (MSc or above) in a quantitative discipline, preferably with a financial markets background, • Strong understanding of futures and options pricing, including curve-fitting and modelling technique, Greeks, • Knowledge of VaR, ES, liquidity risk, concentration risk, and counterparty credit risk, • Excellent proficiency in Python or another scripting language, with strong awareness of software engineering best practices, • (Experience with systems languages such as C/C++ and blockchain technologies is a plus), • Experience working with SQL, • Additional quantitative skills such as data analysis, statistics, and machine learning are a plus, particularly using Python libraries, • Ability to work under pressure, manage strict time constraints, and adapt quickly to a fast-evolving environment, • Excellent communication skills, with the ability to explain complex quantitative concepts to non-technical audiences, respond swiftly to business requests, and collaborate effectively with other teams, including Sales, • Proven capability to interact with a wide range of stakeholders, including IT, management, risk, compliance, the clearing team, and potentially regulators, • Strong motivation to join a dynamic, crypto-focused company with teams distributed across multiple continents This role is based in our London office. Application from any region is acceptable, but candidates based in the United Kingdom will be given preference. GFO-X is an equal opportunities employer committed to diversity and inclusion. Competitive benefits included. If you are interested in this role, please apply through the link in the job posting. Inquiries from agencies should be directed to . Please refrain from sending recruitment inquiries to any other email address or individual within our organisation. GFO-X does not guarantee employment or engagement based solely on enquiry. All unsolicited CVs from agencies shall be treated as such and will not be counted as submissions.

Join GKEPM, a leader in Oracle EPM Cloud solutions for enterprise clients, as a Graduate Trainee and kickstart your career in cutting-edge Oracle technologies. Overview We are looking for a smart, confident and capable individual to join our team as a Graduate Trainee (Technical Associate). Our ideal person will be keen to build a career as a technical consultant specialising in Oracle Cloud and its applications. At GKEPM we deliver Planning, Reporting and Consolidation business solutions for enterprise and mid-market clients, for whom we aim to deliver superior solutions. To deliver the best solutions we review and implement the latest cutting-edge Oracle tech. The successful candidate will be expected to learn on the job while also committing to studying for Oracle technical certifications and developing their capability in Oracle related programming languages. Role You will work under the guidance of one of our directors and support customer projects, with a focus on: · Programming and scripting · Integrations for extracting and loading data · Testing and quality assurance activities · Supporting customers through issue resolution · Training in the technical side of our business and in our technical capabilities Examples of the work you will be assigned · Supporting the build and configuration of Oracle EPM applications, rules, integrations and AI capabilities · Helping analyse and troubleshoot programming, data, rule, or calculation issues · Participating in customer workshops · Preparing test scripts and supporting testing including System Integration Testing (SIT) and User Acceptance Testing (UAT) · Raising, tracking and managing customer and Oracle support requests Capabilities we are looking for Technical capabilities A proven interest in as many of the following as possible: · Programming: Java, Groovy, SQL, MDX, Calc Script · Cloud platforms: OCI, Azure, AWS · Cloud architecture – VMs, networking, identity, security · Databases and data modelling · System integration between cloud applications and between cloud and on premises applications Professional capabilities During the interview we will be looking for these professional attributes: · Curiosity and enthusiasm for technology · Willingness to learn and take initiative · Strong analytical and problem‑solving mindset · Ability to work both independently and within a team · Good communication skills Expectations and progression Working at GK we expect you to: · Progress from Trainee to Associate after one year · Study to pass Oracle University technical certifications · Support our clients to the best of your ability · Work towards delivering superior solutions · Get involved in all the technical areas of the business Working location, pattern and eligibility · At least one day per week in our London office · Must be prepared to be in the office or at a client site up to 4 days a week · Up to 4 days a week remote working · Must have the right to work in the UK without sponsorship Our offer · £25,000 per year with an immediate start · 25 days paid holiday · Fully funded training and certification · Mentoring by one of our directors · Three-month probation period

📢 Junior Catastrophe Modeller - Competitive Salaries I am looking to speak to graduates who hold a degree in geography/STEM and are looking to enter the reinsurance world as a junior catastrophe modeller. This is an exciting opportunity for you to pick up skills in catastrophe modelling using tools RMS and AIR, SQL, and various other skills to advance your career in the insurance industry. If you are considering new opportunities in the reinsurance space, please reach out to me via LinkedIn or email

In our People Solutions business, we partner with organizations to design benefits, total rewards, and workforce strategies that attract, retain, and engage top talent. From growing companies to global enterprises, we combine deep expertise with actionable insights to create solutions that truly support people and business goals. Lockton is a great place to work because we value ownership, innovation, and growth. Associates are empowered to make an impact, share ideas, and develop their careers in a culture that emphasizes inclusion, collaboration, and excellence. At Lockton, you can do meaningful work, grow professionally, and be part of a team that genuinely cares about clients and colleagues alike. The Role Lockton is seeking a senior leader to shape and execute the strategy, design, governance, and advanced analytics of survey programs that support client decision-making across People Solutions, including employee benefits, workforce strategy, and non-cash compensation. This role focuses on translating complex people strategies and plan design considerations into structured, scalable, and data-driven insights for large and multinational employers. The position requires deep expertise in employee benefits, total rewards, advanced survey methodology, applied social science judgment in question design, and senior leadership in automated analytics and insight generation. Key Responsibilities • Lead the design, execution, and governance of global and regional surveys supporting People Solutions priorities, leveraging enterprise survey platforms such as Qualtrics., • Establish and maintain methodological and technical standards to ensure data quality, consistency, confidentiality, scalability, and longitudinal comparability across clients and geographies., • Design and oversee automated survey workflows in Qualtrics, including complex logic, validation rules, versioning, and multi-country deployment., • Apply principles from social science, behavioral economics, and organizational psychology to design survey questions that elicit accurate, reliable, and decision-useful responses from senior HR, Total Rewards, Finance, and executive stakeholders., • Develop survey frameworks that capture people strategy, benefits philosophy, workforce governance, and risk management practices while minimizing response bias and misinterpretation., • Design survey content addressing detailed plan provisions and non-cash compensation, including retirement programs, health and welfare benefits, equity-based compensation, deferred compensation, and other non-cash rewards., • Lead the development of scalable, automated analytics pipelines to process survey data, reduce manual intervention, and support repeatable benchmarking, trend analysis, and executive reporting., • Partner with analytics and technology teams to integrate Qualtrics outputs with data visualization, benchmarking, and reporting tools (e.g., dashboards and standardized executive reporting)., • Serve as a trusted advisor to senior client executives, translating automated survey outputs into clear insights and strategic recommendations., • Present survey findings to executive audiences with clarity and credibility, supported by standardized and dynamic reporting., • Interpret survey data to identify market trends, emerging risks, and opportunities across industries and regions., • Partner with actuarial, legal, tax, rewards, and other People Solutions specialists to ensure technical accuracy and regulatory alignment., • Contribute to the evolution of Lockton’s People Solutions survey and benchmarking capabilities through innovation, digital enablement, and analytics-led insights., • Provide executive-level oversight, coaching, and quality assurance for consulting and analytics teams involved in survey design, automation, and analysis., • Support business development efforts by shaping survey-led client solutions, proposals, and market-facing offerings. Qualifications Required • Bachelor’s degree in Human Resources, Business, Economics, Statistics, Psychology, Sociology, Organizational Behavior, Anthropology, Political Science, or a related field., • Extensive experience in people strategy, total rewards, employee benefits, or human capital consulting, preferably within a large professional services or advisory firm., • Deep knowledge of People Solutions offerings, including employee benefits, total rewards, workforce strategy, and non-cash compensation plan design., • Extensive experience designing and deploying surveys using Qualtrics, including advanced logic, governance controls, and global distribution., • Demonstrated ability to analyze survey results in an automated, scalable manner, supporting benchmarking, trend analysis, and executive reporting., • Proven experience applying social science or behavioral research principles to survey design, including question framing, response bias mitigation, and construct validity., • Advanced degree (MBA, MS, PhD, or equivalent)., • Graduate or advanced study in organizational psychology, behavioral science, economics, sociology, public policy, human factors, or survey methodology, applied in a consulting or business context., • Experience integrating Qualtrics with analytics, BI, or data platforms (e.g., Power BI, Tableau, SQL-based environments)., • Familiarity with governance, regulatory, and compliance considerations related to people programs and compensation., • Experience leading or scaling repeatable, productized survey and benchmarking solutions.

DIGITAL ANALYST SALARY UP TO £55,000 HYBRID - 3 days a week in Central London office THE COMPANY A Global Telecomms business with a strong data team is looking to expand its analytics function with a Digital expert! THE ROLE This role sits within an insights and analytics environment and is focused on a mix of customer analytics, marketing analytics, and tagging implementation. Key responsibilities include: • Handling ad-hoc reporting and data requests across customer and marketing analytics, • Owning tagging and implementation activity, with a particular focus on GA4, • Taking ownership of dashboards and ongoing reporting solutions, • Supporting projects focused on customer churn, customer lifetime value (CLV), and marketing performance, • Collaborating with senior stakeholders to drive insight-led initiatives, • Improving data quality across analytics and reporting outputs, • Supporting handset and mobile-related projects, including analysis of new product launches, • Working towards ownership of end-to-end analytics projects, • Contributing to longer-term strategic initiatives, including large-scale UK and global marketing projects, • Learning from and shadowing senior team members with a clear progression towards increased ownership YOUR SKILLS AND EXPERIENCE Essential: • SQL capability, • Hands-on experience with tagging and implementation, particularly GA4/GTM, • Python experience, • Experience improving or auditing data quality, • Exposure to dashboarding and insight environments BENEFITS • Hybrid working: 3 days per week in the office, • Salary up to £55,000, • Opportunity to develop end-to-end ownership across tagging, analytics, and stakeholder engagement

Senior Customer Analyst – Loyalty, Retention & Growth Hybrid – London (2 days in office) £70,000-75,000 base + discretionary bonus + pension up to 12% A leading global online marketplace is seeking a Senior Customer Analyst to join its Customer Analytics function. The team focuses on understanding, optimising, and growing the customer base through data-led insights, storytelling, and experimentation. This role will play a key part in shaping acquisition, retention, and loyalty strategy, working cross-functionally with Marketing and Product teams to turn insight into commercial impact. Responsibilities include • Owning customer analytics projects such as segmentation, churn modelling, LTV, and lifecycle optimisation, • Designing and analysing A/B and multivariate tests to shape acquisition and retention strategies, • Using SQL and dashboarding tools such as Tableau or Looker to communicate insight across the business, • Partnering with marketing and commercial teams to identify and influence customer growth opportunities, • Translating analytical findings into actionable recommendations that improve customer performance Requirements • Strong SQL experience and familiarity with modern data environments, • Proven experience in ecommerce, tech, or other data-led B2C environments, • Ability to translate analytical outputs into strategic recommendations and tell clear data stories, • Experience designing or analysing A/B testing and customer lifecycle analytics, • Python skills for statistical modelling or automation are an advantage This role offers a hybrid setup (typically two days per week in the London office), a base salary of approximately £70,000 plus discretionary bonus and pension up to 12%. If you’re passionate about using data to shape customer behaviour and drive growth in a fast-paced digital environment, this opportunity offers an ideal next step. Apply below!

Analytics Manager – Property & Financial Services • London (Hybrid) - two days a week on site in Central London, • £80,000-£90,000 (doe) Are you passionate about using data to solve real-world problems and deliver meaningful insights? Do you thrive at the intersection of analytics, product, and client strategy? If so, we’d love to hear from you. We’re looking for an Analytics Manager with strong technical and consultancy experience to help drive innovation and value across the UK property and financial services sectors. You'll lead a talented team of analysts, shape analytical strategy, and work closely with clients, product, and commercial teams to bring data to life. What you’ll be doing: • Leading and mentoring a high-performing team of data analysts and consultants, • Overseeing delivery of advanced analytics solutions across financial services and property data products, • Acting as a key contact for clients—translating their needs into impactful, data-driven solutions, • Providing analytical support in pre-sales, helping turn opportunities into outcomes, • Working alongside product teams to develop and evolve market-leading solutions, • Driving customer success through tailored insight, storytelling, and actionable intelligence About you: • Deep understanding of the mortgage or property domain—or the ability to ramp up fast, • Proven experience leading analytics teams and delivering commercial value from data, • A confident communicator who enjoys presenting to both technical and non-technical stakeholders, • Strong technical toolkit: SQL and Excel required; Python a plus, • Comfortable in a fast-paced environment with a blend of strategy, hands-on analytics, and client engagement, • Background in consulting or financial services is highly valued You’ll bring: • Experience managing and mentoring analysts or consultants, • A problem-solving mindset with a sharp eye for identifying client opportunities through data, • Fluency in data storytelling, data visualisation, and analytical thinking, • A degree in a relevant subject (e.g. maths, stats, economics, computer science) or equivalent experience Bonus points for: • Direct experience in property or mortgage markets, • Prior work with AVMs, lending analytics, or housing market data, • A strong interest in the intersection of data, technology and financial services Benefits that support your lifestyle: • 25 days annual leave (plus extra days for length of service), • Holiday flexibility: Roll over unused days or buy up to 5 extra, • End-of-year office closure — more time to relax over the holidays, • Summer Fridays: 4pm finishes during summer months, • Free breakfast and regular office socials, • £50 gift voucher when you move home, • Parental coaching and enhanced parental benefits, • Dependants leave – 3 paid days annually, • Fertility support, • Professional development opportunities, • Good deed day and payroll giving scheme This is an exciting opportunity to join a well-established team at the forefront of data innovation in the property and lending space. If you're motivated by real impact, autonomy, and working with smart, collaborative people — this is for you.

Novatus Global is a Series B scale-up RegTech SaaS provider and boutique advisory firm, helping financial institutions manage their most complex regulatory requirements. We combine deep consulting expertise with cutting-edge SaaS solutions, enabling clients to strengthen compliance, enhance resilience, and drive sustainable growth. Our flagship SaaS platform, En:ACT (short for Enabling Accurate Compliance in Transaction reporting), is a market-leading solution for regulatory transaction reporting and reconciliation across global regimes. En:ACT automates reporting, reconciles data across systems, and maps errors directly to regulatory rules, helping firms remediate quickly, reduce risk, and meet regulatory obligations with confidence. Already trusted by more than 30 firms worldwide, the platform is scalable, proven, and designed for both business and technical users. Alongside our SaaS offering, our unique model delivers consulting services across Risk & Compliance (including Transaction Reporting and Operational Resilience), ESG, Strategy, Data, and Operations. Unlike larger consultancies, we embed ourselves within client teams to deliver both insight and execution, taking ownership of outcomes and driving measurable impact. Since our launch in 2019, we have scaled rapidly, creating space for our people to grow with the business. Backed by North American private equity investment, and partnerships with the London Stock Exchange Group and Snowflake’s global data platform, we are shaping the future of regulatory compliance through innovation in both advisory and technology. Our growth plans do not stop here; we are on the lookout for top-tier talent to join us on our journey and enable our next phase of success. Job Overview: Novatus Global is seeking an experienced Regulatory Business Analyst with transaction reporting experience to oversee our Managed Services work. This role is focused on client delivery and advisory work, rather than product or platform development. You will use outputs from Novatus’ market-leading RegTech solution, En:ACT, to help clients identify reporting issues and implement practical solutions to improve the accuracy, completeness, timeliness, and regulatory compliance of their transaction reporting. Acting as a strategic advisor, you will work closely with client compliance, operations, and technology teams to analyse reporting results, diagnose root causes, and recommend changes across processes, controls, data, and operating models to enable successful ongoing reporting. This is an excellent opportunity for a regulatory professional who enjoys client engagement, analysis, and problem-solving, and who wants to work across multiple transaction reporting regimes in a fast-growing RegTech-enabled services environment. Key Responsibilities Client Advisory & Managed Services Delivery • Act as a trusted regulatory reporting advisor to clients, supporting them through ongoing managed services engagements., • Use En:ACT reporting outputs, results, and analytics to identify reporting deficiencies and control weaknesses., • Work with client teams to design and recommend practical remediation actions, including process changes, data improvements, governance enhancements, and operational controls., • Support clients in improving the accuracy, completeness, and timeliness of their transaction reporting submissions., • Provide clear, structured advice on how regulatory requirements translate into effective reporting outcomes. Regulatory Analysis & Interpretation • Apply a broad understanding of global transaction reporting regimes (e.g. EMIR, MiFIR, SFTR, CFTC, SEC, ASIC, MAS) to support client analysis and advisory work., • Interpret regulatory requirements and supervisory expectations in the context of client reporting issues and operating models., • Support impact assessments and gap analyses related to regulatory change, audits, or regulatory reviews. Stakeholder Engagement • Work directly with client stakeholders across Compliance, Operations, Technology, and Data teams., • Facilitate workshops and discussions to explain reporting issues, root causes, and recommended solutions., • Communicate complex regulatory and data concepts clearly to both technical and non-technical audiences. Analysis & Problem Solving • Perform detailed analysis of transaction reporting data, exceptions, and trends to support remediation planning., • Identify systemic issues and recurring themes across client reporting populations., • Support prioritisation of remediation activities based on regulatory risk and client objectives. Documentation & Reporting • Produce clear client-ready documentation, including analysis summaries, findings reports, remediation roadmaps, and regulatory insights., • Maintain high-quality internal documentation to support consistent managed services delivery. Continuous Improvement • Contribute to the evolution of Novatus’ managed services approach by identifying common client challenges and best practices., • Share insights and learnings across teams to improve service delivery and client outcomes., • Stay informed on regulatory developments, industry trends, and supervisory focus areas relevant to transaction reporting. Broader Team Contributions: • When capacity allows, apply regulatory expertise to support regulatory horizon scanning and rule development for the platform, including implementation, data mapping, and product duties. About You: • Broad experience or understanding of transaction reporting across one or more regulatory regimes (no requirement to specialise in a single regulation)., • Strong analytical skills, with the ability to interpret reporting results and translate them into clear, actionable recommendations., • Proven client-facing experience, with confidence engaging stakeholders and acting as a trusted advisor., • Experience working in regulatory reporting, compliance advisory, operations, consulting, or managed services environments., • Ability to bridge regulatory requirements with real-world client processes and operating models., • Excellent written and verbal communication skills., • Strong organisational skills and ability to manage multiple client priorities., • Comfortable working with data outputs and analysis tools (e.g. Excel, SQL or similar), though not a hands-on developer role. Benefits: • Private Medical Insurance (AXA) – includes mental health, dental, vision, and private GP access, • Life Insurance (4× salary) with Unum, • Unum’s Help@Hand: medical second opinions, physiotherapy, lifestyle coaching, savings and discounts, and cancer support services for you, your partner, and your child(ren), • Employee Assistance Program, • Enhanced parental leave (maternity & paternity), • Professional qualification sponsorship, • Fast career progression based on performance, not tenure, • Holiday entitlement increases with tenure, • Flexible hours with core collaboration time, • Paid volunteering leave, • Gym & fitness discounts, • Monthly team lunches, quarterly socials, and office snacks & drinks, • Interest-based working groups to collaborate and innovate Diversity, Equity & Inclusion Novatus is an Equal Opportunity Employer. All employment decisions are made based on business needs, role requirements, and individual qualifications, without regard to race, age, religion or belief, sex, sexual orientation, gender identity or expression, marital or civil partnership status, pregnancy or maternity, socioeconomic background, disability, or any other characteristic protected under the Equality Act 2010. We maintain a workplace culture that is inclusive, respectful, and supportive. Our recruitment and selection processes are designed to ensure fairness and consistency for all candidates. Reasonable adjustments are available throughout the application and interview process, and candidates are encouraged to contact Human Resources to discuss any specific requirements. This commitment is embedded in all aspects of our employment practices, including recruitment, compensation, professional development, promotion, and workplace conduct.

Team – Pricing - Actuarial Working Pattern - Hybrid – 2 days per week in the Vitality Bournemouth or London Office. Full time hours. We are happy to discuss flexible working! Top 3 skills needed for this role: • Strong actuarial and analytical modelling skills, • Actuarial judgement and commercial awareness, • Excellent stakeholder communication skills What this role is all about: As a new-generation insurer disrupting the insurtech market, our Actuaries are analytical experts who ensure smooth operations. They analyse data, manage risk, set fair premiums and support long-term financial planning, providing insights that drive decision-making. As an Actuarial Manager in the Health Pricing team, you’ll lead impactful pricing initiatives aligned with business strategy. You’ll manage your own and others’ work, improve pricing processes and tools, and deliver high-quality outputs. Key Actions • Build, refine, and maintain pricing models, clearly explaining assumptions, • Identify and quantify risks, opportunities, and key business drivers, • Validate model outputs, monitor emerging trends, and support solutions to material business challenges, • Translate technical findings into clear, actionable insights for non‑technical stakeholders, • Build strong working relationships and support informed decision‑making across teams, • Coach and support colleagues, sharing expertise to encourage continuous learning, • Deliver high‑quality work on time while maintaining a proactive, solutions‑focused mindset What do you need to thrive? • Fellow of the Institute and Faculty of Actuaries or equivalent, • Or student or associate member of the Institute and Faculty of Actuaries or equivalent, • Knowledge of more advanced visualisation/dashboarding tools such as Power BI, • Experience of working within financial services, particularly in health or general insurance, • Knowledge of SQL, writing and editing complex queries to extract and process data, e.g., using SQL Server Management Studio, • Knowledge of Python and associated data processing libraries (e.g. pandas, numpy) So, what’s in it for you? • Bonus Schemes – A bonus that regularly rewards you for your performance, • A pension of up to 12%– We will match your contributions up to 6% of your salary, • Our award-winning Vitality health insurance – With its own set of rewards and benefits, • Life Assurance – Four times annual salary These are just some of the many perks that we offer! To view the extensive range of benefits we offer, please visit our careers page. Fantastic Benefits. Exciting rewards. Great career opportunities! If you are successful in your application and join us at Vitality, this is our promise to you, we will: • Help you to be the healthiest you’ve ever been., • Create an environment that embraces you as you are and enables you to be your best self., • Give you flexibility on how, where and when you work., • Help you advance your career by playing you to your strengths., • Give you a voice to help our business grow and make Vitality a great place to be., • Give you the space to try, fail and learn., • Provide a healthy balance of challenge and support., • Recognise and reward you with a competitive salary and amazing benefits., • Be there for you when you need us., • Provide opportunities for you to be a force for good in society. We commit to all these things because we want you to feel that you belong, and are supported to be happy and healthy.

SENIOR DIGITAL ANALYST UP TO £75,000 HYBRID – 3X A WEEK IN LONDON Please note, you must be a UK resident to apply and hold full right to work COMPANY DESCRIPTION This organisation is a fast-growing, consumer-focused digital business operating at scale across multiple international markets. It serves millions of customers through mobile-first products, with a strong emphasis on accessibility, value, and customer experience. Data and analytics sit at the heart of decision-making, supporting everything from product development and marketing strategy to customer retention and commercial performance. The business is continuing to invest in its data capabilities, building robust analytics foundations while tackling large-scale, high-impact projects across markets. JOB DESCRIPTION This role sits within a growing Insights function and is ideal for someone who enjoys combining hands-on analytics with ownership of tracking and implementation. You’ll support a wide range of analytics requests across product and marketing, with a particular focus on customer behaviour, churn, and campaign performance. Around 30% of the role will involve owning tagging and implementation (GA4/GTM), while the majority is focused on analysis, insight, and stakeholder collaboration. You’ll start by picking up ad-hoc reporting, dashboards, and data requests, with a clear pathway toward owning projects and contributing to longer-term strategic initiatives. WHAT YOU’LL DO Analytics & Insight Delivery • Handle ad-hoc reporting, data pulls, and analytics requests across product and marketing., • Deliver core customer and marketing analytics, including churn analysis, CLV, and campaign performance., • Support dashboarding and gradually take ownership of key reporting assets., • Take full ownership of tagging and implementation across digital platforms (GA4)., • Ensure accurate event tracking, data capture, and documentation., • Act as the point of contact for tracking-related questions and improvements., • Work closely with senior stakeholders across marketing, product, and commercial teams., • Support initiatives focused on understanding customer churn and the impact of marketing activity., • Support handset and mobile device-related projects, including performance and launch analysis., • Learn from and shadow senior team members, gradually taking ownership of projects., • Contribute to longer-term strategic initiatives, such as evaluating handset launches in the UK and larger global marketing programmes. SKILLS & EXPERIENCE • Strong SQL skills for querying and analysing complex datasets., • Hands-on experience with tagging and implementation, particularly GA4 and Google Tag Manager., • Strong analytical mindset with experience in customer and marketing analytics., • Experience working with dashboards and reporting tools., • Confident stakeholder management and communication skills., • Highly organised, proactive, and comfortable working with ad-hoc requests., • Ability to balance technical implementation with analytical insight. NICE TO HAVE • Working knowledge of Python., • Experience in telecoms, mobile, or other subscription-based consumer businesses., • Exposure to international or multi-market analytics environments.

The Role Senior Hedge Fund Operations/ Trade Support Analyst - to grow into Operations Manager (Mayfair based) Martis Search are representing a boutique, Mayfair based institution to hire a permanent multi-asset class “Hedge Fund Operations/ Trade Support Analyst -” to grow into an “Operations Manager.” The role reports into their COO and is a growth opportunity. It involves managing a small team of Hedge Fund Operations/ Trade Support Analysts. The position requires extensive Hedge Fund Operations experience (5-years + level), ideally across different Hedge Fund strategies, as well as a proven background with process change/ projects and both the potential and desire to manage an Operations team in the near future under the guidance of their COO. The role will be the COO’s right-hand person and requires fine attention-to-detail to help completely re-design their entire Operations department, as well as managing the existing team. This means checking daily work-loads, ensuring they are producing accurate work, motivating staff, helping with new fund launches, delivering on related projects etc. This role sill involves day-to-day Operations too. The role is an excellent opportunity as it is a mix of Hedge Fund Operations/ Trade Support and Fund Administration/ Fund Accounting. The chosen incumbent will need strong understanding of the trade-life cycle, as well as sound working knowledge of NAV’s/ Valuations from working within a Hedge Fund. Any experience of using coding languages such as VBA, Python, SQL, or PowerBI, or Tableau (to build Data Visualisation Management Information reports for Fund Managers is highly advantageous, but not essential. The reports are used for Fund Managers to make investment decisions on and contain reports relating to NAV’s/ Valuations, Performance Reporting etc. Our client would prefer someone to have Hedge Fund, or boutique Asset Management Operations experience, with an understanding of the trade-life cycle, but would also be open to look at Operations experience across any type of Financial Services sector, with the view of training across the Hedge Fund sectors, related asset classes and strategies. Our client supports Operations across multi-asset class Hedge Fund support across Equities, Fixed Income, FX, OTC & ETD Derivatives, Commodities, across multiple different Hedge Fund strategies such as Equity Long/ Short, Fixed Income, Global Macro, Event Driven to name but a few. The role is 4-days in the office and x 1 day working-from-home. This is why this is such a great opportunity to get solid Hedge Fund Operations experience. The role will involve a mix of daily Hedge Fund Operations. Operational tasks include: • Trade Booking/ Trade Capture/ the full trade life-cycle, • Settlements, • Cash, Stock & PnL Reconciliations, • NAV Valuations (Reconciliations/ Calculations), • PnL, • Liaising with Prime Brokers, • Treasury Operations, • Related project work Salary £70 k pa - £80 k pa, dependent upon experience, plus annual discretionary bonus, pension, Healthcare etc.

Quantitative Risk Analyst – Contract (Inside IR35) Location: London Day Rate: £300–£375 per day (Inside IR35, Umbrella rate) A leading financial markets organisation is looking for a Quantitative Risk Analyst to support ongoing development and refinement of its margin and risk models. This role is ideal for a highly analytical researcher with strong technical skills and a deep academic background. What You’ll Be Doing • Carry out quantitative research and empirical analysis to help shape margin methodology and risk-mitigation strategies, • Design and implement back-testing approaches to assess model performance and coverage, • Create and run QA test cases to validate model behaviour and underlying code, • Build tools and pipelines to clean, align, and manage large, complex datasets What We’re Looking For • PhD (preferred) or Master’s in Mathematics, Finance, Statistics, Economics, or a closely related quantitative field, • Solid knowledge of derivatives pricing and statistical analysis of market risk drivers, • Strong academic foundation in probability theory and stochastic processes, • Hands-on experience with Python, R, SQL, and C++, • Clear communicator with the ability to articulate complex concepts effectively This contract offers an excellent opportunity for a quantitatively driven researcher to apply advanced analytical skills within a highly technical risk environment.

We are hiring a Business Analyst to join a high-performing consulting team delivering complex, high-impact projects for leading private equity firms. This role is ideal for someone who enjoys solving operational and data challenges, working closely with senior stakeholders, and producing clear, high-quality analysis and deliverables. Private equity operations experience is essential - experience of implementing CRM's You will gain exposure to a wide range of private equity operating models, transformation programmes, and data initiatives—while being supported with structured learning, development, and career progression opportunities. The Role As a Business Analyst, you will provide analysis, process mapping, problem-solving, and project support across multiple client engagements. You will work with senior consultants to understand client requirements, propose solutions, document processes, and present findings to stakeholders. You’ll also contribute to project planning, prioritisation, and coordination of tasks across the team. As you grow in the role, you will begin taking on responsibilities from the engagement lead, including elements of resource forecasting, issue resolution, and budget oversight. We encourage a collaborative, knowledge-sharing environment, where analysts support each other’s development through peer mentoring and active participation in analyst-led forums. What You’ll Do • Work directly with private equity clients to analyse processes, data, and operational challenges., • Document current and future-state processes, producing high-quality deliverables for senior stakeholders., • Lead or support client meetings, presenting findings and proposed solutions., • Create and manage project plans, ensuring tasks are prioritised and assigned appropriately., • Own business requirements, specifications, prototypes, and testing activities., • Maintain accurate project documentation including risks, issues, actions, and meeting notes., • Delegate tasks to junior analysts or interns when appropriate, setting clear expectations., • Support project management tasks such as updates to the engagement lead, resourcing input, and forecasting., • Prepare materials for senior stakeholder meetings, including Steering Committees., • Contribute to internal knowledge sharing and analyst forums., • Work across multiple client engagements simultaneously, managing your time effectively., • Use the Microsoft suite (Excel, PowerPoint, Word, Visio) to produce polished, client-ready materials. What We’re Looking For • Experience or strong interest in private equity operations (essential)., • Strong analytical, problem-solving, and organisational skills., • Ability to understand complex processes and translate them into clear documentation., • Confident communicator with the ability to engage senior stakeholders., • Proactive mindset and willingness to take ownership of tasks., • Ability to work across several projects simultaneously., • Collaborative and supportive team player with a desire to mentor others., • Working knowledge of Excel, PowerPoint, and other MS tools (Visio desirable)., • Understanding of data concepts (SQL, DAX, Power BI) is advantageous but not essential. Why Join Us? This is an excellent opportunity for an ambitious analyst who wants to build a career in private equity operations and consulting. You will receive hands-on experience, exposure to senior clients, and structured development to support rapid progression. You’ll be part of a team that values people, encourages learning, and supports you to develop both professionally and personally.

Freelance Junior Business Analyst (Contract) 📍 London (Hybrid – 3 days onsite) We’re looking for a Junior Business Analyst to join a busy, fast-paced creative and digital environment on a freelance contract. This is a great opportunity for someone early in their BA or analytical career who’s keen to gain hands-on experience within a structured team, with exposure to real business decision-making and stakeholder engagement. You’ll work across a variety of projects focused on data analysis, reporting, process improvement and insight generation, supporting teams to make better, data-driven decisions. What you’ll be doing: • Building a strong understanding of internal systems, data sources and reporting tools, • Working with stakeholders to gather, analyse and document reporting and analytical requirements, • Supporting and training end users on dashboards, reports and BI tools, • Performing detailed data analysis to identify trends, risks and opportunities, • Maintaining and improving Excel-based models, dashboards and MI, • Helping streamline, automate and standardise reporting processes, • Supporting wider project work through ad-hoc analysis and business case support, • Experience in an analytical, reporting or business support role (freelance or permanent), • Degree educated (2:1 or above preferred), • Strong Excel skills, • A structured, detail-oriented approach to problem solving, • Confident communicator, comfortable working with a range of stakeholders, • Able to work independently, manage priorities and adapt in a fast-moving environment, • Experience with SAP or similar finance/procurement systems, • SQL knowledge, • Experience with Power BI, Tableau or similar tools, • Exposure to SharePoint and Power Automate, • Background in media, creative, marketing or agency environments This role would suit someone freelancing who’s looking for longer-term engagement, or a junior BA looking to deepen their experience in a supportive but high-performing team.

Attribution Search is partnered with a leading global hedge fund to hire a Business Management Associate into its London-based equities business. The firm operates a highly sophisticated, multi-strategy platform with a strong reputation across global markets. This role sits close to the front office and plays a key part in supporting the growth, optimisation, and strategic development of the equity trading business. This role will work alongside Portfolio Managers, Traders, senior management, and external counterparties to support commercial, strategic, and operational initiatives across the global equity platform. This is a broad, front-office–adjacent role offering exposure to trading strategy, financing, execution, and business management within a fast-paced hedge fund environment. Key Responsibilities • Support the strategic development of the equity trading business across multiple strategies, • Work closely with Portfolio Managers on new strategies, products, counterparties, and trading initiatives, • Liaise with Prime Brokers and execution counterparties, covering onboarding, commercial terms, and ongoing optimisation, • Analyse financing, margin, execution costs, and Prime Broker competitiveness, • Track and report on key business performance metrics including P&L, risk, and costs, • Coordinate the onboarding of new Portfolio Managers, acting as a central point across internal teams, • Lead and support cross-functional projects spanning trading, technology, legal, compliance, and operations, • Act as a key liaison between the front office and internal support functions, • Assist with regulatory-driven change impacting equity trading activities Experience Required • 1–3 years’ experience in a business management, front-office support, sales, or related role within a hedge fund, asset manager, or investment bank, • Strong understanding of equity markets, products, financing, and trading strategies, • Excellent communication and stakeholder management skills, • Proven ability to manage and coordinate cross-functional initiatives, • Strong analytical and problem-solving skills, • Advanced Excel, Python, SQL, or VBA is advantageous, • Familiarity with PMS/OMS/EMS platforms and multi-strategy environments is a plus Candidates with relevant experience are encouraged to apply to learn more.

London - Hybrid - £55k-£60k Basic salary Role Purpose As a strategic and analytical Revenue Operations Manager, you will play a key role in aligning our new business, marketing, and customer success operations to drive scalable growth and optimize revenue performance. This role is ideal for someone who thrives at the intersection of data, process, and strategy. We are seeking a highly analytical and detail-oriented Revenue Operations Analyst to join our growing team. This is a critical role that will own the engine of our revenue organisation. You will be responsible for two core functions: • Salesforce Data Integrity: Ensuring our Salesforce data is clean, accurate, and a reliable source of truth for the entire company. Key Responsibilities Salesforce & Data Management • Serve as a primary administrator for our Salesforce Sales Cloud instance., • Manage all aspects of data integrity, including data cleansing, de-duplication, and enrichment., • Proactively audit and monitor data quality, implementing validation rules and processes to maintain hygiene., • Manage user profiles, roles, permissions, fields, and other configurations., • Troubleshoot Salesforce issues for users, providing prompt and helpful support., • Assist in managing the integration of our GTM tech stack with Salesforce (e.g., marketing automation, sales engagement tools). Analytics & Reporting • Design, build, and maintain all key sales reports and dashboards in Salesforce and our Business Intelligence (BI) tools., • Analyse and report on key revenue metrics, including pipeline health, funnel conversion rates, sales velocity, and rep performance., • Track core KPIs such as ARR, Churn Rate, Net Revenue Retention (NRR), and Customer Acquisition Cost (CAC)., • Develop and manage sales forecasting models in collaboration with sales leadership and finance., • Conduct ad-hoc analysis to answer strategic questions from leadership (e.g., "Why is our win rate down?" or "Which lead sources provide the highest-value deals?")., • Present findings in a clear, concise, and actionable format to stakeholders across the business. Forecasting & Planning • Support quarterly and annual revenue planning with data-driven models and scenarios., • Help drive accountability through KPI tracking and regular business reviews. Qualifications & Skills Required: • 2-4+ years of experience in a Revenue Operations, Sales Operations, or Business Analyst role., • Expert-level proficiency in Salesforce (Sales Cloud), especially with reporting, dashboards, data management (Data Loader), and workflows., • Proven experience with BI tools (e.g., Tableau, Power BI, Looker, etc.) for building and maintaining dashboards., • Advanced data analysis skills with the ability to analyse complex datasets, identify trends, and provide actionable insights., • Strong Excel / Google Sheets skills (e.g., pivot tables, VLOOKUP, complex formulas)., • Excellent communication skills, with the ability to explain complex data to non-technical audiences., • Extreme attention to detail and a passion for data accuracy., • A proactive, problem-solving attitude and the ability to manage multiple priorities independently. Desirable (Nice-to-Have): • Salesforce Administrator Certification (Admin or Advanced Admin)., • Basic understanding of SQL., • Experience in a B2B SaaS or developer-focused company., • Familiarity with the broader sales/marketing tech stack (e.g., HubSpot, Marketo, Outreach, SalesLoft). Personal Attributes • Hands-on, resourceful, and proactive — able to thrive in a fast-paced growth company, • Comfortable balancing high-level strategy with tactical execution, • Excellent communicator, both written and verbal, • Strong commercial acumen and results-driven mindset, • Collaborative leader who enjoys working closely with New Business, Customer Success, Marketing, and leadership, • Enthusiastic about technology and developer tools What We Offer • Opportunity to join a market-leading, fast-growing global tech company, • Competitive salary and benefits package:, • o Private health insurance, • o Gym membership, • Hybrid working model with a vibrant London office (3 days per week in-office), • A collaborative and inclusive culture where your ideas can make a global impact

Subscription Analytics Manager Location: Harmsworth Media Headquarters, Derry Street, HSK, London Position: Permanent Role Overview As Analytics Manager you will play a key role in driving data analytics initiatives that support subscriber growth and retention strategies at Harmsworth Media (the I Paper and the New Scientist). You will define and maintain reports to track key performance indicators (KPIs), build advanced customer segmentation models, and leverage predictive analytics to enhance business decision-making and identifying key insights to help identify audience opportunities for prospecting. Main Responsibilities • Lead data analysis initiatives across the subscriber lifecycle, from acquisition to retention and lifetime value., • Define and maintain reports to track KPIs, providing actionable insights to stakeholders across the business., • Develop, improve, and maintain customer segmentation models to provide deep insights into the subscription base and inform Product/Marketing strategies., • Utilise predictive analytics and retention modelling to forecast churn risk and customer behaviour, leveraging data science techniques., • Collaborate with cross-functional teams, including marketing, finance, product and editorial, to ensure data-driven decision-making aligns with business objectives., • Deliver actionable recommendations to optimise marketing spend, customer acquisition, product initiatives and retention strategies., • Responsible for innovating in how we leverage AI to access and give insights to the newsroom, marketing and product teams. Person Specification • 6+ years of experience in data and marketing analytics, preferably in a subscription-based business., • Strong commercial acumen, with the ability to translate data insights into business strategies., • Advanced analytical and quantitative skills, with expertise in statistical analysis and predictive modeling., • Proficiency in SQL, Python, or R, and experience with data visualization tools such as Power BI, Tableau, or Looker Studio., • Excellent stakeholder management skills, with the ability to communicate complex data findings to non-technical audiences., • Knowledge of data science and machine learning techniques applied to subscription-based businesses, including churn prediction and lifetime value modeling., • Experience in customer segmentation, cohort analysis, and marketing mix modelling (MMM). Example projects • The i Paper - POLARIS Dashboard build and automation, including the setting of the KPI's - which we settled on using the last 12 months averages. This basically covers the Key website traffic performance indicators that can be used simply in the board decks., • GA4 Analytics Glossary - to enable a clear understanding of the tags/events/parameters implemented on the website and their purpose. This is going to feed into a wider dmg Media initiative, where we are looking at reviewing our analytics implementation. Package Description Our benefits package increases the longer you’ve been with us. Here’s what to expect: • 25 days’ holiday (increasing by 1 per year up to a total of 30), • Upon joining you will be automatically enrolled onto the Pension Plan at the minimum level of 5% employee contribution, 3% Company contribution., • Life cover under the Pension Plan 4x your basic salary., • DMGT Discounts (for discounts on online shopping, vouchers and reloadable cards), • Subsidised canteen, • Onsite gym (Northcliffe House only), • Onsite nurse and GP clinics (Northcliffe House only), • Our Employee Assistance Programme, • Discounted dining cards Plus many other benefits…. Our Commitment We are committed to increasing diversity and maintaining an inclusive workplace culture. We welcome applications from all qualified candidates regardless of their ethnicity, race, gender, religious beliefs, sexual orientation, age, marital status, or disability. We are Disability Confident Committed. Please let us know if you require any recruitment documentation in other formats or if you require reasonable adjustments to be made during the recruitment process. Please be assured that any such information will be held separately to your recruitment application and will not be considered as part of the selection process.

About the role: The successful candidate will design and maintain Power BI semantic models built on top of the Gold layer, ensuring all reporting is consistent, performant, and certified for organisational use. They will also prepare curated, structured datasets optimised for use with Microsoft Fabric data agents, Copilot experiences, and other AI-driven capabilities. This role requires expertise in Power BI report design, data modelling, and DAX, along with the ability to analyse structured and unstructured data using Microsoft Fabric and related technologies. The analyst will work closely with internal business teams, data engineers, and platform experts to deliver high-quality analytics, reporting, and data models that drive intelligent business solutions. Responsibilities: • Own and maintain the Gold layer within the organisation’s Medallion Architecture, ensuring it provides clean, trusted, business-ready data for enterprise reporting., • Design, develop, and maintain Power BI reports and semantic models using Power BI and Microsoft Fabric analytics tools., • Write DAX calculations for KPIs, time intelligence, advanced metrics, and custom business logic., • Conduct exploratory and statistical analysis on structured and unstructured datasets to identify trends, patterns, and opportunities., • Partner with Data Engineers to ensure Bronze and Silver layers are well-structured and optimised for downstream consumption., • Build and maintain Fabric semantic models, dataflows, and transformations that support reporting and the Gold dataset layer., • Translate business requirements into analytical specifications, KPIs, and measurable outcomes., • Prepare high-quality curated datasets optimised for Fabric data agents and other AI-driven experiences., • Communicate analytical findings clearly to both technical and non-technical stakeholders through storytelling, visualisation, and documentation., • Support the development of Copilot-driven insights by preparing trustworthy datasets and metadata., • Ensure all analytical solutions adhere to data governance, security, and compliance standards. Requirements: • Proven expertise in data analysis, business intelligence, or analytics roles., • Experience working within a Medallion Architecture, ideally with direct responsibility for Gold layer curation., • Expertise in Power BI, including:, • Intermediate DAX, • Star schema modelling and semantic model design, • Report UX/UI best practices, • Performance optimisation, • Hands-on experience with Microsoft Fabric features such as Lakehouse, Data Warehouse, dataflows, and semantic models., • SQL skills for data exploration, transformation, and quality assurance., • Experience analysing both structured and unstructured data sources., • Ability to translate business questions into measurable insights., • Excellent communication skills, including the ability to simplify complex analytical concepts for business stakeholders. Desirable • Knowledge of Python for analytical scripting, data manipulation, and advanced statistical techniques., • Familiarity with AI-enhanced analytics tools such as Copilot, AI Foundry, or Fabric-based AI services., • Understanding of data governance, metadata management, and data quality best practices., • Experience with statistical modelling, forecasting, or machine learning techniques., • Relevant Microsoft certifications (Power BI, Fabric, or Data Analyst Associate). Work in a way that works for you: We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working for you: We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: • Generous holiday allowance with the option to buy additional days, • Health screening, eye care vouchers and private medical benefits, • Wellbeing programs, • Life assurance, • Access to a competitive contributory pension scheme, • Save As You Earn share option scheme, • Travel Season ticket loan, • Electric Vehicle Scheme, • Optional Dental Insurance, • Maternity, paternity and shared parental leave, • Employee Assistance Programme, • Access to emergency care for both the elderly and children, • RECARES days, giving you time to support the charities and causes that matter to you, • Access to employee resource groups with dedicated time to volunteer, • Access to extensive learning and development resources, • Access to employee discounts scheme via Perks at Work About the Business: RELX is a global provider of information-based analytics and decision tools for professional and business customers. RELX serves customers in more than 180 countries and has offices in about 40 countries. It employs more than 36,000 people over 40% of whom are in North America. The headquarters is in London. The market capitalization is about £60bn ($80bn), making it one of the 10 largest listed companies in the UK. The company is listed on the London Stock Exchange, Euronext and NYSE. The company has four market segments. It develops information-based analytics and decision tools for professional and business customers in the Risk, Scientific, Technical & Medical, Legal, and Exhibitions sectors.

About our Team: LexisNexis is a data and analytics company with 10,500 colleagues serving customers in more than 150 countries. We’re one of the largest information and analytics companies on the planet. We design solutions that help our customers increase productivity, improve decision-making and outcomes, and be more successful. About the role: The senior data analyst consults with internal stakeholders to clarify business problems, gather requirements, and collect, analyze, and interpret data to support data-driven decisions. This role develops advanced insights and recommendations within their domain and uses analytics tools to curate data, build models, create visualizations, and communicate findings to business audiences. The Sr. Data Analyst I independently leads high-complexity analytics projects and mentors junior analysts. Responsibilities • Partner with stakeholders to understand business needs and identify the most relevant analyses, KPIs, and success measures., • Support stakeholders in setting appropriate goals and defining measurable outcomes aligned to business objectives., • Prepare and transform data using advanced blending, refinement, and quality techniques (including large/complex datasets)., • Apply statistical methods and intermediate data models/scenarios to evaluate trends, drivers, and potential outcomes., • Create clear, compelling data visualizations and narratives tailored to the target audience., • Lead and execute analytics projects independently, including scoping, planning, and managing deliverables to deadlines., • Serve as a subject matter expert within an assigned domain and coach/mentor junior team members., • Develop working knowledge of adjacent disciplines and how they influence analytics needs and interpretation., • Leverage approved AI tools to accelerate analysis and deliverables (e.g., drafting analyses, summarizing findings, generating code/queries, documenting work) while maintaining accountability for accuracy and quality., • Develops data products that meets the data consumer where they are in their data literacy journey (e.g. chatbot/genie for metrics questions, reusable dashboards). Requirements: • Bachelor’s or Master’s degree in Data Analytics, Data Science, Mathematics, or a related field; or equivalent practical experience., • Significant experience in analytics, reporting, or data science-adjacent roles., • Ability to understand complex data structures and apply advanced data preparation, blending, refinement, and quality techniques (including big data)., • Experience applying intermediate statistics to business problems., • Significant experience leveraging SQL and Python for data querying, collection, transformation, and analysis., • Experience with data visualization tools such as Tableau and/or Power BI; ability to design dashboards and narratives for business audiences., • Familiarity with advanced analytics/data platforms (e.g., Databricks or equivalent)., • Strong project execution skills: able to structure work into modular tasks, manage multiple projects in parallel, communicate progress, and resolve blockers., • Ability to craft effective prompts, iterate toward higher-quality outputs, and incorporate domain context and constraints. Work in a way that works for you We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. • Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive Working for you We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: • Generous holiday allowance with the option to buy additional days, • Health screening, eye care vouchers and private medical benefits, • Wellbeing programs, • Life assurance, • Access to a competitive contributory pension scheme, • Save As You Earn share option scheme, • Travel Season ticket loan, • Electric Vehicle Scheme, • Optional Dental Insurance, • Maternity, paternity and shared parental leave, • Employee Assistance Programme, • Access to emergency care for both the elderly and children, • RECARES days, giving you time to support the charities and causes that matter to you, • Access to employee resource groups with dedicated time to volunteer, • Access to extensive learning and development resources, • Access to employee discounts scheme via Perks at Work About the Business LexisNexis Legal & Professional are a leading global provider of legal and regulatory intelligence. We give organisations the business information and analytics they need to make better, more impactful decisions. We are building powerful new decision tools that use machine learning, natural language processing, visualisation and artificial intelligence that aid and enhance decision making.

TECHNICAL ACCOUNT MANAGER - working for a highly regulated, not-for-profit. £70,000-£80,000 2 days a week in London office Sponsorship is not being provided We’re working with a not-for-profit, industry-led organisation bringing together major players from financial services, technology and telecommunications to tackle fraud at scale. Backed by well-known organisations and operating in a highly regulated environment, they run collaborative, data-driven pilot projects with real-world impact. THE ROLE This is a hands-on Technical Account Manager role focused on delivery, coordination and data. You’ll be the primary operational contact for multiple member organisations, running pilot projects end-to-end: keeping stakeholders engaged, chasing actions, handling incoming datasets, performing basic analysis, and reporting progress clearly and confidently. It’s a role for someone who enjoys ownership, momentum, and getting things over the line. What You’ll Do • Act as the day-to-day operational contact for external partner organisations, • Run pilot projects from kick-off to close: planning, tracking, chasing actions, managing risks, • Receive, validate, clean and document datasets from multiple parties, • Perform basic analysis and reporting (primarily Excel; SQL/Python/R a plus), • Produce clear progress updates and insight summaries for senior stakeholders, • Capture feedback and turn learnings into practical recommendations, • Work within data-sharing agreements and UK GDPR requirements THE CANDIDATE • You'll be expected to have several years’ experience (typically ~6+) in roles such as Technical Account Manager, Customer Success, Implementation, Delivery or Partner Operations, • Strong stakeholder management skills, • Comfortable working with real-world, imperfect data (Excel expertise essential), • Experience in or with regulated environments (e.g. finance, fintech, telecoms, big tech), • Highly organised, detail-oriented, and outcomes-focused, • Confident communicating with senior stakeholders BENEFITS • Vitality health insurance, • Life Insurance and income protection, • 28 days’ holiday plus UK bank holidays, • Company pension scheme with employer contribution If this sounds like you, then please apply ASAP with your CV to stand the best chance of getting an interview!

Job Title Senior Data Analyst (Service Delivery & AI Analytics) Department Service Delivery Location Remote or Hybrid (split between site-based and home-working) Country Flexible (UK/EU/US/Hong Kong) Level Individual Contributor Reports to Global Head of Service Delivery, IT & Repairs Contract Type Permanent / Full-time Contracted Hours/Days 37.5 hours / 5 days per week Date: 29/01/26 About Us At Reveal, passion meets purpose. Our body-worn video solutions are more than just technology; they're a testament to our commitment to safety, innovation and change. Rooted in the UK, we've become a trusted ally for many police forces, local authorities, retailers and private organisations; helping to pioneer and drive the application of body-worn video in settings and geographies where we can see exciting potential. With an influence now spanning over 40 countries, our mission to make a positive impact continues to gain momentum. Purpose of the Role The Senior Data Analyst will play a critical role in enabling data-driven decision-making across Reveal’s global service organisation. This role is responsible for extracting, transforming, analysing, and visualising data from multiple enterprise systems—including Azure, Salesforce, Halo ITSM, and repair/logistics platforms—to deliver high-quality insights for senior executives, sales teams, service delivery, engineering, product teams, and customers. The role will design and maintain advanced Power BI dashboards, build robust data models, perform historical trend analysis, and develop forecasting and pattern-detection models to support operational planning and continuous improvement. In addition, this role will contribute to the evolution of AI-enabled analytics, using Python and modern AI tools (e.g. Copilot and ChatGPT-style agents) to enhance insight generation, automate analysis, and enable self-service reporting capabilities across the business. This role is critical to Reveal’s ability to scale service operations globally while maintaining service excellence, customer trust, and commercial performance. By combining advanced analytics, automation, and emerging AI capabilities, the Senior Data Analyst will help transform data into a strategic asset across the organisation. Key Responsibilities The following outlines the principal responsibilities of the role. This list is not exhaustive and may be updated to reflect business needs, provided it remains aligned with the overall purpose of the position. Data Extraction & Integration • Design, build, and maintain reliable data pipelines to extract data from Azure, Salesforce, Halo ITSM, and other internal or third-party systems., • Develop automated ETL processes to ensure timely, accurate, and scalable data refresh cycles., • Work with development teams and system owners to integrate data via APIs and improve data availability. Data Modelling & Analytics • Build and maintain robust data models to support operational, commercial, and executive reporting., • Analyse service delivery performance including SLAs, KPIs, MTTR, incident volumes, backlog trends, repair cycle times, and device failure patterns., • Perform historical trend analysis and develop forecasting models to support capacity planning, staffing decisions, and risk identification., • Identify patterns, anomalies, and systemic issues that impact service quality or cost-to-serve. Dashboarding & Reporting • Design and deliver high-quality Power BI dashboards tailored to different audiences, including senior executives, sales teams, service operations, and customers., • Standardise KPI definitions and reporting structures across regions (UK, Germany, US, Hong Kong)., • Automate recurring reports and reduce reliance on manual, spreadsheet-based reporting., • Use Python to automate data processing, analysis, and reporting workflows., • Contribute to the design and development of AI-assisted analytics solutions, including:, • Copilot-style or ChatGPT-based agents to support insight generation, reporting, or operational queries, • Natural-language interfaces for exploring service data, • Partner with stakeholders to identify high-value use cases where AI can enhance decision-making or operational efficiency. Continuous Improvement & Decision Support • Provide analytical insight to support continuous improvement initiatives across service delivery and support operations., • Support monthly and quarterly service reviews with strategic customers through high-quality analytics packs and performance narratives., • Enable proactive decision-making by identifying emerging risks before they impact customers or SLAs. Data Governance & Quality Assurance • Establish and maintain data governance standards, KPI definitions, and documentation., • Ensure data accuracy, integrity, and consistency across all reporting outputs., • Identify data quality issues and work with system owners to drive upstream improvements. Stakeholder Collaboration • Work closely with Service Delivery, Engineering, Product, Sales, Finance, and Customer Success teams., • Act as a trusted analytics partner to senior leadership, translating complex datasets into clear, concise insights., • Present findings confidently to executive stakeholders and external customers. Learning and development • We encourage continuous professional development and support learning through on-the-job experience, feedback and access to relevant training opportunities. You are expected to take ownership of your development and maintain up-to-date knowledge of sector trends, technology and best practice relevant to your role. Qualifications, Skills and Experience Essential • 5–7+ years’ experience as a Senior Data Analyst, BI Analyst, or Analytics Specialist, ideally within SaaS, ITSM, or service-led organisations., • Strong Python experience (essential), including use for data analysis, automation, modelling, and system integration., • Advanced SQL skills and experience building and maintaining ETL pipelines., • Advanced Power BI expertise, including DAX, dataflows, model optimisation, and performance tuning., • Proven experience extracting and working with data from Azure, Salesforce, and ITSM platforms (Halo ITSM preferred)., • Strong understanding of service delivery and operational metrics (SLAs, KPIs, MTTR, backlog management, incident trends, repair logistics)., • Demonstrated experience with forecasting, time-series analysis, and pattern recognition., • Ability to translate complex data into executive-level insights and compelling narratives., • Strong communication and stakeholder management skills. Desirable • Experience developing AI-assisted analytics solutions, including:, • Building Copilot, ChatGPT, or similar AI agents to support reporting, insight generation, or operational decision-making, • Leveraging large language models (LLMs) to enhance data exploration or automation, • Experience integrating Python analytics with Azure AI services (e.g. Azure OpenAI)., • Familiarity with modern data platforms (Azure Data Lake, Synapse, Snowflake, lakehouse architectures)., • Experience with predictive or prescriptive analytics beyond basic forecasting., • Exposure to automation or orchestration tools for analytics pipelines. Key Performance Indicators (KPIs) • Accuracy, reliability, and consistency of reporting and data models., • Adoption and usage of dashboards by executives and operational teams., • Reduction in manual reporting effort across the business., • Accuracy and usefulness of forecasting models., • Measurable improvements in service performance visibility and decision-making speed., • Data quality improvements across core systems.

Data Engineer – TV Advertising Data (FAST) Location: London – 3 days onsite Salary £75,000 - £85,000 Neg DOE Reference : J13057 Note: Full and current UK working rights required for this role We’re currently seeking a Data Engineer to build the foundations behind the rapidly growing FAST (Free Ad Supports Streaming TV channels) A pioneering opportunity to be involved with direct to consumer advertising for a Global player in the field. Someone who is passionate about how data drives the industry and to help optimise campaigns, measure performance, and monetise content. Key Responsibilities • Design, build, and maintain scalable ETL/ELT pipelines that transform raw data into reliable, analytics-ready datasets, • Ingest, integrate, and manage new data sources across advertising, audience, platform, and content data within Fremantle’s Microsoft Fabric environment, • Deliver robust data flows that underpin global FAST dashboards, monetisation insights, and audience viewing metrics, • Work closely with the central Data & Analytics team to enable high-quality Power BI reporting and analysis, • Ensure strong data governance, integrity, and security across the Azure/Fabric ecosystem, • Optimise data pipelines for performance, scalability, and efficiency, following best-practice engineering standards including version control and code reviews, • Monitor pipeline health, data freshness, and quality, implementing proactive alerting and issue resolution, • Translate business and analytical needs into well-structured data models and technical solutions, • Automate data workflows to minimise manual processes and improve operational reliability, • Maintain clear documentation of pipelines, datasets, and data flows to support collaboration and smooth handovers, • Stay current with data engineering best practices, particularly within the Microsoft technology stack Skills & Experience • 5+ years’ experience working as a Data Engineer or in a similar role, • Proven experience with cloud-based data platforms (Azure, AWS, SQL, Snowflake, Springserv); Microsoft Fabric experience is a strong plus, • Strong proficiency in Spark SQL and PySpark, including complex transformations, • Experience building ETL/ELT pipelines using tools such as Azure Data Factory or equivalent, • Ability to write efficient, reusable scripts for transformation, validation, and automation, • Hands-on experience integrating data from APIs (REST, JSON), including automated data collection, • Solid understanding of data modelling best practices for analytics and dashboards, • Confidence working with large, complex datasets across multiple formats (CSV, JSON, Parquet, databases, APIs), • Strong problem-solving skills and the ability to diagnose and resolve data issues, • Excellent communication skills and experience working with cross-functional teams, • Genuine curiosity about how data drives content performance, audience behaviour, and monetisation If this sounds like the role for you then please apply today!

Royalty Data Analyst London based - 4 days in the office Permanent £60,000 - £70,000 A global entertainment business is looking to hire a Royalty Data Analyst to join a growing analytics function supporting catalogue performance and revenue assurance. The business is looking for an analyst with strong judgement and commercial curiosity who can independently interpret royalty data, form a clear point of view, and explain what the numbers actually mean. You will be responsible for understanding why income is under or over performing, comparing expectations versus actuals, identifying risks or gaps early, and translating complex and often imperfect royalty data into clear, decision ready insights for non technical stakeholders. The role Working closely with publishing, label and finance teams, you will act as the analytical owner of royalty performance across the catalogue. Key responsibilities include: • Interpreting royalty income data to understand performance trends, anomalies and movements, • Explaining what is happening, why it is happening, and what action is required, • Assessing expected versus actual income and identifying gaps, risks or under performance, • Running revenue assurance and data quality checks to detect issues early, • Building reporting views that support interpretation rather than just visibility, • Partnering with finance teams to support accruals and commercial forecasting, • Improving SQL logic, data flows and reporting processes over time What they are looking for • Around 3 to 5 years experience in data analysis, royalty analysis, revenue assurance or a related analytics role, • Background in music, media, rights, royalties or a comparable data heavy commercial environment, • Strong analytical reasoning and ability to move from raw data to insight, • Comfortable working with incomplete or imperfect datasets, • Confident forming and defending an analytical point of view, • Experience using SQL and at least 1 BI or reporting tool such as Tableau or Power BI, • Ability to communicate complex findings clearly to non technical stakeholders

Product Owner We are partnering with a leading provider of market data and analytics, serving top global financial institutions. Based in London, the company offers an inclusive, collaborative environment with hybrid working, regular team activities, and a focus on innovation and growth. As a Senior Product Owner, you’ll shape the future of the platform. You’ll translate client needs into clear requirements, manage the product backlog, and align development with strategic goals. Responsibilities: • Manage and prioritize the product backlog with stakeholders, • Deeply understand APIs, workflows, and client use cases, • Turn complex requirements into detailed user stories and epics, • Collaborate with engineering and data teams on technical planning, • Gather client feedback and market insights with commercial teams Profile: • Proven experience as a Senior Product Owner in fintech, market data, or data platforms, • Strong background with SaaS, data products, or platforms, • Familiar with Agile/Scrum methodologies, • Excellent communicator across technical and non-technical teams, • Analytical mindset with attention to detail; experience with Snowflake, Databricks, SQL, Python, Tableau, or Power BI is a plus This role offers a chance to make a meaningful impact within the business, if you would like to hear more please get in touch with your CV to .

🚀 Retail Analyst 📍 West London (Hybrid – 3 days per week) 💰 Up to £35,000 plus performance bonus We’re looking for a Retail Analyst to join a dynamic, entrepreneurial team working at the heart of the retail and digital commerce industry. This is a hands-on role offering real autonomy, variety, and the opportunity to make a genuine impact. You’ll support and develop a well-established retail data analysis programme, working with large-scale market data and turning complex trends into clear, compelling insights for members, stakeholders, and live audiences. 🔍 What you’ll be doing Data & Reporting • Work closely with the Retail & Data Director to build and develop a major retail market Index, • Manage the weekly production of market reporting using SQL, Azure and Excel, • Carry out anomaly detection across weekly and monthly data submissions and index results, • Liaise with retail members to ensure accurate and consistent data collection, • Transform and maintain historic retailer submissions into a master dataset using Power Query and Excel, • Support retail members in setting up and improving their data submission processes, • Maintain a clean, well-organised retail membership CRM database Insights & Analysis • Analyse index data to identify market trends and translate them into shareable insights, • Create monthly insight packs for the commercial/sales team, • Help plan and develop presentations for industry events and breakfast briefings, • Analyse GA4 data from retail panels and shape it into publishable insight content, • Devise and deliver new data and research studies for the wider insights programme, • Produce a weekly insight piece for webinars and LinkedIn, • Play a key role in the ongoing improvement of the digital dashboard (Power BI), • Present insights to retail audiences via member calls and live events, • Collaborate with marketing to promote the latest insights across events and channels 🧠 What you’ll bring • Medium to advanced Microsoft Excel skills, • Experience querying databases using MS SQL Server, • Knowledge of Power BI and Power Query (desirable), • Strong analytical skills with the ability to turn data into meaningful, engaging insight, • Ability to manage multiple projects and deliver to deadlines, • Experience with Google Analytics or Adobe Analytics (a plus), • Confidence turning research and analysis into clear presentations, • Absolute discretion when handling confidential information, • Ability to perform well under pressure — with a sense of humour 🌟 What’s in it for you • The satisfaction of seeing your work directly influence an industry, • Opportunities to develop your analytical and presentation skills, • Autonomy, responsibility, and the chance to make your mark quickly, • Career development in a fast-moving digital and tech-focused environment, • A fair remuneration package with a performance-related bonus 👤 Experience required You’ll likely have 1–2 years’ experience in an analyst role, ideally with exposure to online retail. Experience simplifying complex data trends into sharp, concise conclusions is highly valued, along with an understanding of how retailers analyse, collate, and report performance.

Business Assistant to UHNWI in London (fluent Russian language). As a Business Assistant, you’ll apply your professional skills in a wide range of tasks, including: • Data Entry: Accurately enter, update, and maintain data in a variety of databases and spreadsheets., • Contact Management: Assist in managing and updating contact lists, including customer and supplier information. (Excel and AirTable)., • Zoom Coordination: Schedule and manage Zoom meetings, including sending invitations and ensuring all necessary details are provided., • Word Processing and Document Processing: Prepare, edit, and format text, documents, and presentations as needed., • Data Mining: Conduct online research to gather relevant information as requested by a manager (e.g., company profiles)., • Excel Management: Create, update, and manage Excel spreadsheets to support business intelligence and reporting., • Analytics Support: Assist in compiling and analyzing data for business reports and presentations., • Document Translation: Translate documents as needed., • Minute Preparation: Assist in taking and preparing meeting minutes., • Data Storage Management: Organize and manage data storage systems to ensure data integrity and availability (Notion)., • Letter Preparation: Compose and prepare business correspondence and letters as required., • Calendar Analytics: Assist in populating the CEO's calendar and provide analytical support related to calendar management. Required Skills and Experience: • A minimum of 5 years of direct hands-on experience as an executive or business assistant to the business owners (UHNWI) or Forbes list businessmen., • Fluent Russian language command is a must (!), • Advanced knowledge of online software/Tech tools such as Google Workspace, Office 365, Zoom, Jira, Slack, Notion, Zapier, Fireflies, Otter, Linkedin Sales Navigator, Tableau, Confluence, Felo, Worldly, AirTable, Hub Spot, Contact Out, Rocket Reach, Excel/Google Sheets experienced user, SQl knowledge is an advantage, • Ability to multitask with ease and prioritize work as needed, • Highly organized with excellent time management skills, • Ability to learn new tools quickly, • Excellent interpersonal communication, • Strong writing skills, • Ability to work independently and under the pressure of deadlines, • Solution driven! Compensation & benefits: • Competitive compensation level., • Paid time off including vacation/sick leave.

Company Description Loqsea Technology is a leading provider of cutting-edge Commodity Trading Risk Management (CTRM) solutions, built on a modern, cloud-based infrastructure. Our platform empowers traders and risk managers with real-time visibility. Known for its speed and flexibility, the platform supports better decision-making and streamlines operations. Loqsea’s tools, from trade capture to risk analytics, are designed to help businesses stay ahead in dynamic markets. Role Overview We are seeking a highly skilled and detail-oriented Product Specialist to join our team, with a strong internal focus on understanding, shaping, and enhancing our Commodity Risk and Trading Management (CTRM) platform. This role combines product expertise, business analysis, and technical configuration. You will develop deep product knowledge, support internal teams, help design and refine product capabilities, and contribute to pre-sales demo setup and configuration. While some client interaction will still occur, the core emphasis is on product development, internal enablement, and platform improvement. Key Responsibilities Internal Product Expertise & Business Analysis • Develop and maintain deep, end-to-end knowledge of our CTRM platform, including architecture,, • Analyse business requirements from internal stakeholders, translating them into clear and actionable specifications for the product and development teams., • Identify gaps, inefficiencies, and enhancement opportunities within the product and propose improvements., • Participate in defining, validating, and improving risk models, analytics, and reporting capabilities within the platform. Product Development Support • Work closely with the product team to prioritise features, refine user stories, and support the full product lifecycle., • Assist in functional design, testing, and validation of new features before release., • Help maintain internal product documentation, user workflows, and configuration standards. Pre-Sales & Demo Environment Configuration • Configure and maintain the pre-sales demo environment to ensure it showcases the full capabilities of the platform., • Support Sales and Pre-Sales teams by preparing tailored demo scenarios, datasets, and configurations. Implementation & Account Support (Secondary Focus) • Collaborate with implementation teams to support successful client onboarding and configuration., • Assist in troubleshooting complex product issues and elevating internal understanding of product behaviours., • Engage with clients periodically to gather feedback and assist with product roadmap alignment. Required Skills & Qualifications • Experience in a Product Specialist, Business Analyst, or similar role within a CTRM/ETRM or related trading/risk management environment., • Strong knowledge of commodity trading and risk management concepts (market risk, product control, valuation, P&L, etc.)., • Ability to translate business requirements into functional and technical specifications., • Experience with configuration, workflow design, or systems analysis., • Strong analytical and quantitative skills, with exposure to risk modelling or analytics., • Familiarity with relevant tools and technologies (Python, SQL, VBA advantageous)., • Excellent communication skills for effective collaboration across product, engineering, sales, and implementation teams., • Proactive problem solver with strong attention to detail. Desired Attributes • Curious, analytical, and highly motivated to learn the full depth and breadth of a complex CTRM platform., • Driven to improve product quality, user experience, and internal processes., • Comfortable working cross-functionally and balancing technical and business perspectives., • Resilient and adaptable in a dynamic, fast-paced environment., • Team-oriented with a mindset geared toward product excellence and continuous improvement.

Business Director - Marketing Science London £75,000-£85,000 We’re hiring: Business Director – Marketing Sciences (Marketing Analytics & Effectiveness) Are you a senior analytics leader who loves turning data into real business growth? We’re looking for a Business Director to lead high-impact marketing effectiveness and analytics work, partnering with senior stakeholders and shaping how data drives marketing decisions. This is a leadership role for someone who’s part strategist, part data scientist, part trusted advisor. What you’ll do • Lead complex marketing effectiveness & measurement projects (e.g. MMM/econometrics, experimentation, forecasting), • Partner with senior stakeholders as a trusted analytics advisor, • Translate business challenges into data-led solutions and products, • Shape new analytics offerings and push innovation in how marketing performance is measured, • Support day-to-day media planning & optimisation with analytical insight, • Lead and develop a team of analysts – technically and professionally, • Embed a culture of testing, experimentation and learning What we’re looking for • Strong analytical background (stats, econometrics, maths, economics, science or similar), • Extensive experience in marketing analytics / consultancy / agency-side analytics, • Proven track record delivering analytics projects that influence senior decision-makers, • Expertise in 2+ of:, • Econometrics / Marketing Mix Modelling, • Forecasting, • Machine learning for marketing, • A/B & multivariate testing, • Advanced survey analytics (segmentation, driver models, etc.), • R fluency is essential (R Shiny desirable), • Python / SQL / VBA / SPSS also a plus, • Confident communicator who can simplify complex insights for non-technical audiences, • Comfortable working independently and leading multiple workstreams Why join? • Work on meaningful, high-impact marketing challenges, • Help shape the future of analytics and effectiveness, • Lead smart people and build innovative products, • Be part of a culture that values growth, openness, creativity and development, • Strong benefits, flexibility, and support for wellbeing Interested? DM me or apply #Hiring #MarketingAnalytics #DataScienceJobs #Econometrics #MarketingEffectiveness #LeadershipJobs #AnalyticsLeadership

An exciting opportunity for an experienced Technical Business Analyst to join a fast growing Insurance firm in the market. You will focus on analysing, enhancing, and supporting insurance technology and data solutions. You will work across underwriting, exposure management, pricing, policy administration, and post-bind operations to ensure systems, data flows, and processes support business objectives effectively. KEY REQUIREMENTS: • Have strong Insurance experience is essential, • Have experience working as a Technical Business Analyst is essential, • Have proven track record of delivering IT and digital change initiatives, ideally involving core insurance platforms., • You will have a strong working knowledge of Agile and DevOps delivery, including backlog management and minimum viable product-driven approaches, and be confident working with stakeholders across both technical and non-technical teams., • Experience with tools such as Azure DevOps or Jira, along with data analysis (e.g. SQL), reporting tools, or process modelling, is highly desirable., • Have experience working in a fast-paced transformation environment,, • Have a pragmatic and collaborative approach to change delivery.

JOB DESCRIPTION POSITION: Senior Capital Modelling Analyst LOCATION: London About The Job: Our client is looking to expand their Capital Modelling team which currently owns the internal model that is used to set their capital and drive business decisions. Analysts within the team are key to setting up and interpreting modelling output and communicating the insights from this within the team and to key stakeholders. This role will have a mix of modelling/analysis and reporting work and the opportunity to continue to study for the actuarial exams (if applicable). What you’ll spend your time doing: • Direct analysis to meet business questions and priorities, • Investigate new effects or issues in analysis and propose plans to address these, including anticipating how these effects may change over time, • Proactively consider and communicate the assumptions and limitations that should be visible to decision makers, • Challenges how a task is approached with new ideas, • Create process to ensure work is completed in a systematic and orderly way to a high standard of accuracy, • Supporting the development and delivery of strategy including exploring priorities and options, • Actively contributing to the actuarial team culture of high performance and inclusivity, • Are a strong problem solver who enjoys thinking through the best way of processing data and analysing, • Have a high attention to detail and accuracy Requirements of the Senior Capital Modelling Analyst: • Have experience in an actuarial role within the General Insurance market (Lloyd’s or P&C), with a strong background in capital modelling, • Be nearly/newly qualified (max 2-3 exams remaining), • Ideally have experience in non-insurance risk calibration and/or model development (e.g. dependencies, market risk), • Ideally have ICM Igloo experience, but candidates with strong relevant Tyche backgrounds would also be considered, • Have excellent soft skills abilities (communication, building relations, team players), • Have good logical reasoning skills couple with commercial acumen, • SQL and R skills would be beneficial

Senior Product Analyst Location: London (3 days per week in-office) Contract: Permanent Salary: Up to £110,000 (DOE) Hera has partnered with one of the UK’s fastest scaling B2C companies, that are currently in a continued period of phenomenal growth. As they scale, they’re hiring a Senior Product Analyst to turn product data into strategy and are looking for an analyst who has the skills to drive growth through insight, experimentation and commercial impact. This is a high impact, high visibility role where your insights won’t sit in dashboards, they’ll shape the product roadmap, influence commercial decisions, and accelerate experimentation across a product being used by millions. If you thrive in fast-paced, data-rich environments and love turning analysis into measurable product impact, this one is for you. Why You’ll Love Working With This Business: 🚀 Hyper-growth B2C scale-up – Join a business scaling rapidly and investing heavily in product and data 🎯 Strategic influence – Your insights will steer product and commercial decisions at the highest level 📈 Real product impact – Help shape a product used by millions every day 🤝 Supportive, collaborative culture – Work with smart, curious people who value experimentation and learning What You’ll Be Doing: • Leading product insights and analytics, uncovering trends and opportunities across large-scale datasets, • Designing, run and evaluate A/B and multivariate experiments to guide product improvements, • Translating sophisticated analysis into clear, actionable recommendations for senior stakeholders, • Collaborating with engineering and data teams to ensure robust tracking, data models, pipelines and reporting, • Presenting findings to leadership and cross-functional teams with clarity, confidence and influence You’ll Excel In This Role If You Have: • 4+ years in analytics, with 3+ years in a senior or lead capacity within a high-growth B2C environment, • A proven track record of driving product and commercial strategy through actionable data insights, • Advanced SQL skills and experience working with very large datasets, • Strong experience with A/B testing and experimentation frameworks, • Exceptional communication and data storytelling skills (technical and non-technical audiences), • Familiarity with BI tools such as Looker or Tableau, • Bonus: dbt or modern data stack experience Diversity, Inclusion & Accessibility: Hera recruits with diversity and inclusion at its core and continues to embrace, champion and recognise the incredible assets that come from working and collaborating with people from all walks of life. We’re here to support you every step of the way — if you require reasonable adjustments during the application or interview process, please don’t hesitate to reach out. We’ll guide you through how we’re able to support you with your specific needs and will ensure a fair and accessible recruitment process for all candidates, without you having to disclose the details behind your disability or condition.

Reports To: Head of Strategy, Transformation and Data Governance Location: London MUST HAVE INSURANCE EXPERIENCE Role Purpose Data Management (DM) provides the framework that ensures data is reliable, well understood, secure, and trusted for operational, management, analytical, and customer-focused use. Data is a core business asset with both strategic and tactical importance and must be effectively governed and leveraged to deliver maximum value. The Senior Data Manager will play a key role in ensuring the governance, quality, and effective use of data across the UK business. This role acts as a bridge between business and technology, ensuring that data structures, standards, and controls align with business needs while supporting innovation and new technologies. Key Objectives of Data Management • Understand and help define business information needs, • Ensure the creation, maintenance, and integrity of data assets, including logical data models, • Promote high-quality data and support the business in its use, • Ensure effective storage, usage, and governance of data, • Maintain coherence of the Microsoft data environment and structures with business requirements, including ownership of business definitions and rules within platforms such as Fabric and Purview Role Overview The Senior Data Manager will work as part of the UK data team to ensure robust data governance and effective data management practices. The role supports senior leadership, including the COO, in delivering the organisation’s data strategy and governance agenda. Key focus areas include: • Curating and maintaining the Data Body of Knowledge (BoK) and data glossary, • Ownership of metadata, master and reference data, and logical data models, • Acting as Data Design Authority and a key interface between business and IT, • Driving the Data Quality framework, certification processes, and issue resolution, • Enabling appropriate use of data domains and emerging technologies (e.g. Generative AI), • Acting as the business point of contact for IT initiatives with a material data impact Key Responsibilities Data Design & Governance • Act as Data Design Authority in defining data strategy and logical data models, • Apply and embed a robust data governance framework, ensuring adherence to certification and quality standards, • Drive continuous improvement of data quality through analysis, remediation planning, and root cause resolution, • Implement and own remediation plans covering lineage, mapping, and data issue resolution, • Proactively engage business teams in the curation and maintenance of business terms, definitions, formulas, and synonyms, • Collaborate with IT, Information Security, and control functions to define and implement appropriate data access rules and guardrails, • Enable effective and appropriate use of data domains and new technologies, • Act as a market and industry observer to identify new data sources, tools, and techniques that can enhance the organisation’s data estate Experience & Skills • Extensive experience working in complex data environments, • Strong knowledge of metadata management, master data, and reference data models, • Experience within the insurance or financial services sector, • Proven expertise in data model management, • Strong background in Data Quality Management, including DQ rule definition, analysis, and interpretation, • Hands-on experience with data quality tools and continuous improvement initiatives, • Solid SQL skills, • Experience leading or supporting data stewardship communities, • Strong problem-solving skills, including root cause analysis

Job Title: Portfolio Analyst Location: London & Hybrid (4 days per week in the office) Salary: £50,000 – £70,000 DOE About the Business Our client is a well-established investment management firm in London, managing assets across multiple strategies for institutional and private clients. With a disciplined, data-driven approach to portfolio management, the firm prioritises collaboration, investment rigor, and long-term outcomes. This is a unique opportunity to join the investment team in a pivotal support role, providing analytical insight, data management, and operational continuity across the portfolio function. The Role We are seeking a Portfolio Analyst to act as a connective role within the investment team, supporting portfolio managers through data, analysis, and execution rather than direct deal activity. You will play a central role in ensuring continuity and resilience across core investment support processes, maintaining high-quality fund and portfolio data, producing actionable insights, and supporting both internal and client-facing reporting. The role is ideal for someone highly analytical, collaborative, and motivated by solving complex portfolio questions, building tools, and automating processes using SQL and Python to improve decision-making. Key Responsibilities • Own and curate fund and portfolio data, ensuring consistency, usability, and reliability for downstream analysis and reporting., • Produce analytical outputs to interpret portfolio behaviour, performance trends, and risk positioning at a fund level., • Support capital deployment activity, including coordination around allocations and fund-level movements., • Provide information and analysis to facilitate investment committee, senior management, and client-facing discussions., • Play a role in external-facing information provision, including investor queries, due diligence exercises, and ad-hoc requests., • Build and adapt analytical tools, models, and automation using SQL and Python to support forward-looking assessment, stress scenarios, and fund modelling., • Partner with operational and finance teams to ensure portfolio activity, financing, and reporting are aligned and accurate., • Contribute to the evolution of data infrastructure, controls, and documentation as the organisation scales., • Engage in process redesign and automation initiatives to reduce manual intervention and improve insight generation. Essential Skills & Experience • Experience in a Portfolio Analyst, Investment Analyst, or similar role, preferably on the buy-side., • Strong SQL and Python skills for data manipulation, analysis, and reporting., • Experience managing and analysing fund-level data and portfolios., • Strong understanding of portfolio analysis, performance measurement, and risk management., • Advanced Excel skills; experience with investment analytics platforms or portfolio management systems advantageous., • Highly analytical, with the ability to produce clear, actionable insights., • Strong organisational skills and attention to detail., • Excellent written and verbal communication skills; confident engaging with portfolio managers, operational teams, and clients., • Degree in Finance, Economics, Mathematics, or a related discipline; CFA progress advantageous. Personal Attributes • Proactive and solution-oriented, with a desire to take ownership of processes and outputs., • Comfortable working across teams and functions to deliver high-quality outcomes., • Adaptable, able to manage competing priorities in a fast-paced environment., • Curious and analytical, with a mindset for continuous improvement and automation using SQL and Python. Benefits • Salary £50,000 – £70,000 DOE., • Hybrid working model with London office base (4 days in office)., • Exposure to portfolio managers, investment decision-making, and client reporting., • Collaborative and supportive investment team environment., • Opportunities to shape data processes, tools and reporting as the organisation scales.

We’re seeking an exceptional Head of Engineering / Engineering Manager to partner closely with our CTO and lead the next stage of our engineering organisation. We want a deeply technical leader who still loves to build, leads from the front, and thrives in high-velocity, high-ownership environments. Your mission: build the fastest engineering team on the planet. Who you are: You’re a top-tier engineer with proven leadership experience in fast-moving startups or scaleups. You’re comfortable making imperfect decisions quickly, you’ve built products under pressure, and you know that momentum beats perfection. You might be: • A seasoned engineer who has already stepped into an Head of Engineering / Engineering Manager role at a venture-backed startup, • An ex-founder who has built and shipped products under real pressure, • A startup tech lead who thrives on ownership and bold decisions, • A pragmatic builder who values time-to-value over “the right way” What makes you perfect for this role: • Engineering leadership: You’ve coached and unblocked engineers in high-velocity, high-pressure environments., • Deep technical expertise: You have strong architecture instincts and solid security knowledge, but you’ll cut through complexity to keep shipping., • Startup operator mindset: You’ve taken products from 0→1 or through hyper-growth and know how to build systems that evolve with the company., • Velocity obsession: You believe iteration > perfection, and your instinct is always to get value in front of users as fast as possible., • AI-first: You’re bullish on AI, vibe-coding daily, and always looking for ways to push velocity through AI-assisted workflows., • DevX focus: You obsess over developer experience because you know great tooling = more speed., • Execution focus: Monitoring, observability, and performance aren’t “nice to haves”, they’re how you ship fast without breaking trust. What you'll do • Set the bar for engineering velocity: coaching, mentoring, and unblocking the team every day, • Make architectural and security calls fast, balancing speed with long-term resilience, • Build and own best-in-class developer experience - tooling and workflows that eliminate drag, • Monitor and protect reliability and SLAs, while still moving at startup speed, • Establish a culture where iteration is celebrated and perfectionism is challenged How we work at Lightdash • We build in public. Open source means moving fast with shared context., • We challenge problems, not people. No blame, just solutions., • We’re highly collaborative. Independent, but we win as a team (and with our community)., • We bias hard toward impact. We’d rather ship the wrong thing quickly and learn, than waste weeks polishing what nobody needs. Our tech stack: • Primary: TypeScript, React, Node, SQL, • Frameworks: Express, React-hooks, Redux, RTK, Mantine ⚡ We’re deliberately looking for ambitious leaders from startups and high-growth companies. If you want predictability, long roadmaps, and “the right way” over speed, this isn’t the role for you. 👉 Research shows that women and underrepresented groups often don’t apply unless they meet 100% of the requirements. Even if you don’t tick every box, if you have startup experience and a hunger for velocity, we’d love to hear from you.

Role Name : Backend Developer Type : Contract – Inside IR35 Location : London, Canary Wharf 3x/week Hybrid/Remote : Hybrid – 3 days per week Duration: 1 year + option to extend Job Description: Top Must-Haves: • Python, • Postgres SQL, • API Developent (REST), • Good CS and OOP fundamentals., • Experience with SDLC and design of new greenfield solutions Responsibilities: • Design sophisticated backend components, services, platforms, and Restful APIs for seamless communication with the front end., • Continuously reviewing the services and components and seeking opportunities for improvements., • Identifying and addressing Tech Debt., • Influencing and delivering the product roadmap to improve our Key Performance Indicators and deliver tangible business value., • Developing the team’s Software Engineering skills., • Owning the team’s culture and ways of working, instilling a care for high quality code and tests and for implementing best practices. Technical Skills: • Bachelor’s degree in Computer Science, Engineering, Computer Information Systems, or equivalent work experience., • Excellent communication skills and ability to communicate with your peers through to senior leaders. Should be able to engage and influence others to collect requirements, describe what you’re doing, work through problems, and find productive solutions., • Self-starter, able to handle ambiguity, navigate uncertainty, identify risks, and find the right people and tools to get the job done. Software Skills: • Skillful in Python for developing scalable and maintainable software., • Database design and knowledge of PostgreSQL., • Strong Software Engineering Design capabilities and understanding of Computational Complexity., • Skillful in software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, continuous deployments, testing, and operations. Thanks.

We are working with a global investment firm that is hiring an Associate to support portfolio analytics, investment decision-making and reporting across the business. This is a data-driven role suited to someone with strong commercial understanding and the technical ability to work deeply with complex portfolio data. Working closely with a senior Portfolio Data & Analytics lead, you will maintain and validate core portfolio data, run recurring updates and integrity checks, and resolve data issues as they arise. You will analyse large datasets to support portfolio attribution, post-deal analysis, performance monitoring and IR reporting, using tools such as Excel, Power BI, Power Query and SQL/Python. You will also help build and improve dashboards, models and analytical tools, and present clear, well-structured insights to investment and stakeholder teams. The firm is looking for someone with 2–4 years’ experience in a data-heavy analytical role within financial services, asset management, or a similar environment. You should have strong academics, advanced Excel skills, experience with Power BI, and working knowledge of Python. A solid understanding of portfolio and investment concepts, strong attention to detail and the ability to communicate analysis highly desirable. The role offers a competitive salary and bonus, strong long-term career prospects, and exposure across a global investment platform, with a hybrid working model.

CMG are excited to be partnering with a global tech leader who are looking for a finance/data analyst to join their team on a temp basis. About the Role In this role, you’ll build powerful financial models, sharpen forecasting, and use SQL to turn complex data into clear insights that guide critical decisions across Finance, Product, and Sales teams. You’ll drive and optimize core processes governance, reporting, dashboards, SOX controls while streamlining workflows, speeding up execution, and elevating financial clarity across international operations. You’ll collaborate with stakeholders across regions, anticipate risks, solve complex problems, and influence leaders with data‑backed recommendations. Drawing on deep FP&A or Business Finance expertise, you help shape plans, support project success, and continuously identify opportunities to improve efficiency without sacrificing quality. If you thrive in a fast‑paced environment and want to be at the centre of how a global technology business runs, this role offers the opportunity to make a real and immediate impact. Responsibilities • Build, define, and maintain complex financial models that track direct and allocated spend, planning, and forecasting across multiple product or finance areas., • Review large datasets, extract relevant insights, identify trends, and provide recommendations that support operational excellence and revenue growth., • Create, deliver, and present financial reporting for products, markets, or Finance teams, offering data‑driven insights and high‑impact recommendations to leadership., • Identify opportunities for process improvement and efficiency., • Coordinate multi‑component change‑management activities and measure the effectiveness of implemented changes., • Lead project planning, timeline estimation, status reporting, issue tracking, meeting facilitation, and project documentation., • Manage project workstreams and drive cross‑functional working groups to deliver results., • Provide guidance to teams to identify, mitigate, and escalate risks when needed., • Build strong relationships across the Finance organization to align priorities and deliverables., • Contribute to broader organizational initiatives, including recruiting, diversity programs, and community events. Required Skills • 5 + years of relevant experience, • Experience with datasets and SQL, • Financial performance metrics, • Financial modeling, • Stakeholder management, • Finance or FP&A technical skills, • Robust analytical skills, • Strong competency with spreadsheets, documents, and presentation tools

Who are we? At OpenPayd, we are building a universal financial infrastructure to power the growth of the digital economy. Our rails-agnostic approach empowers any business to move and manage money globally - across both traditional rails and stablecoins — at scale, and in real time .The OpenPayd platform delivers a suite of banking and payments infrastructure: accounts in over 40 currencies, FX, on/off ramp, international and domestic payments, Open Banking services – all via a single API. A global network of licences alongside our best-in-class tech is why we're trusted by 800+ enterprise clients to process over €130 billion annually. How will you add value to the OpenPayd journey? • Owns and inputs into reports on the company performance – this reporting is to be done daily/ weekly/ monthly, depending on the metrics., • Manages ad-hoc queries from a variety of teams across the business, and fulfils them with existing reports or builds new ones as needed - you will be the 'go-to' data resource for a number of teams., • Documentation of existing data sources and identification of gaps - propose and deliver solutions to fill these and improve data quality., • Gathering and analysing cross-functional performance data., • Presenting performance analysis and recommending solutions., • Maintaining current reports, ensuring that company changes do not impact or affect their accuracy., • Managing weekly, monthly, and annual regulatory reporting, including all ad-hoc requests received from regulators. The ideal candidate will have the following: • Results driven person with goal-oriented mindset, passionate about payments industry and with proven track record of achieving results., • Strong communication and people skills, ability to transform complex problems into simple solutions., • Extensive experience with Tableau a must: building reports, data visualisation, and streamlining underlying data sources to optimise this process., • Experience with BigQuery and SQL a must., • Experience with ThoughSpot and Salesforce CRM will be considered a plus., • Excellent organisational skills and attention to detail., • Self-starter who can work autonomously and enjoys building solutions from scratch., • A problem solver, a person who has a logical mind which can understand someone’s requirements and provide a better way. We’d like you to take a read of our Talent Acquisition Privacy Notice which explains how we collect and process your personal data. Please read our notice carefully. By submitting the application button, we will consider that you aware of it. We are looking forward to receiving your CV. OpenPayd Talent Team To all recruitment agencies: OpenPayd does not accept speculative agency resumes. Please do not forward resumes to our jobs alias, OpenPayd employees or any other company location. OpenPayd is not responsible for any fees related to unsolicited resumes. OpenPayd will only accept CV's from the partners with relevant agreement via the People and Talent team only.

Company Description The rise of AI has transformed the information landscape; online disinformation campaigns and manipulated narratives - once rare or irrelevant - are now everywhere. The internet is at risk of becoming a dead zone filled with synthetic GenAI ‘slopaganda’. Superhuman AI makes it increasingly difficult for humans to detect bots at all, so the team at Egregious have designed advanced algorithms to protect the internet from these novel threats. We are seeking a highly capable Intelligence Analyst to operate at the cutting edge of synthetic threat intelligence. This role focuses on the identification, infiltration, mapping, and intelligence extraction from coordinated AI-driven influence networks, including bot farms, synthetic personas, and automated information operations. Due to the nature of the mission, you may be exposed to manipulative, deceptive, or distressing content. Role Description This role is the digital analogue of HUMINT, adapted for a world where adversaries increasingly deploy bots instead of people. You will operate within hybrid and synthetic ecosystems, embedding analytically and operationally to extract insight on intent, capability, command-and-control, tradecraft, and effect. You will • Identify, map, and analyse coordinated synthetic influence networks, including AI-driven bots, automated personas, and hybrid human-machine operations., • Conduct deep-dive intelligence collection using OSINT, HUMINT and SOCMINT methodologies to understand bot network structure, behaviour, narratives, and amplification strategies., • Build and maintain persistent access to synthetic ecosystems to observe and influence network evolution over time., • Extract intelligence on command signals, coordination patterns, content generation pipelines, timing, and targeting logic., • Analyse cross-platform behaviour, identifying linkages, escalation indicators, and operational signatures., • Apply structured analytical techniques to assess intent, attribution indicators, effectiveness, and risk posed by synthetic influence campaigns., • Distinguish between organic, automated, and semi-automated activity, identifying deception, obfuscation, and evasion techniques., • Develop and refine methodologies for analysing non-human actors, including behavioural baselining and anomaly detection., • Maintain detailed analytical records, datasets, and evidential chains suitable for briefing, assessment, and escalation., • Produce clear, compelling written intelligence reports, including threat assessments, network diagrams, and strategic briefings., • Translate complex technical and behavioural findings into actionable intelligence for non-technical decision-makers. Requirements • Demonstrable experience in intelligence analysis, OSINT, SOCMINT or threat intelligence., • Strong understanding of online influence operations, disinformation, deception and information manipulation., • Experience analysing coordinated behaviour at scale., • Exceptional analytical judgement and attention to detail., • Ability to produce concise, high-quality written intelligence under time pressure., • High levels of digital literacy and comfort working with complex datasets and tools. Desired Skills • Familiarity with platform policies, coordinated inauthentic behaviour frameworks, and takedown criteria., • Experience using data visualisation, network analysis, or social graphing tools., • Ability to use Python, SQL, or similar to query, process, or automate analysis of large datasets., • Background in HUMINT, cyber threat intelligence, influence operations, or behavioural analysis., • Knowledge of how LLMs, generative AI, and automation frameworks are operationalised in adversarial settings. This is a full time onsite role. Junior applicants welcome !

BettingJobs are working with a major European sportsbook and casino operator who have offices based in Prague. They are looking to set up new HQs in London and Madrid. Current Opportunity: Seeking a Group Senior Insight Analysts to join a Commercial department. In this role, you will be responsible for ensuring accurate performance measurement and a unified analytical approach across two business verticals and all active markets. The role focuses on delivering reliable insights, supporting strategic decision-making, and maintaining consistency in KPI definitions, reporting, and evaluation at the Group level. In cooperation with local and Group stakeholders, the role ensures effective day‑to‑day analytical support, drives opportunity assessment for new market expansion, and safeguards alignment in performance measurement methodologies across markets. This involves close collaboration with cross‑functional teams to provide high‑quality analysis, benchmarking, and readiness assessments, enabling informed and timely decision-making across the Group. What You’ll Be Doing: Your daily activities will include, but not limited to: • Develop and maintain dashboards, automated reporting suites, and performance monitoring tools for both verticals., • Lead analytical strategy for Casino and Sportsbook, delivering high-impact insights on core KPIs and player behavior, • Conduct deep-dive analyses into player behaviour, segmentation, VIP activity, and cross-sell flows., • Evaluate CRM campaigns, bonus strategies, product features, content releases, and UX changes., • Monitor real-time performance during major sports and gaming events, identifying anomalies and performance deviations., • Standardise KPI definitions, reporting structures, and insight frameworks across all markets., • Conduct root-cause analysis for performance fluctuations., • Support country and product teams with ad-hoc analysis, forecasting, and opportunity assessments. What They're Looking For: You should have experience in: • University degree in Analytics, Data Science, Statistics, Economics, or related field., • At least 3 years of analytical experience (gaming, sportsbook, or digital product preferred)., • Fluent level of English, both written and verbal (at least C1 level), • Strong experience with Python or R, • Experience analysing large transactional datasets., • Strong Power BI and SQL experience It would be a bonus if you bring: • Background in the gambling or entertainment business, • Experience in multi-market/multi-brand environments, • Knowledge of any CEE languages, • Experience with Google Analytics or a similar tool