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Data Analyst Course Programme – Job Guarantee Included Complete online training designed to take you from zero experience to your first data analyst role. Study part-time, build fundamental skills, and get dedicated job placement support until you're hired. Flexible financing options available, with payment plans starting from as low as £142 per month. The Programme Complete this 10-week online training with just 10-15 hours per week of study time. You'll learn industry-standard tools, including Excel, SQL, Python, and Power BI, while building a professional portfolio with workplace projects. The programme includes earning BCS and CompTIA certifications recognised by UK employers, expert tutor support throughout your studies, and dedicated job placement support with CV help, interview preparation, and direct employer introductions. The Outcome 93% of graduates secure data analyst roles within 3 months. Starting salaries: £28,000 – £38,000 Who This Is For The programme is completely beginner friendly, so no experience needed. Career changers are welcome, and you can study at your own pace. *This programme is available to UK-based learners only. Ready to start earning in data? Limited spaces available. Apply now for the next available cohort.

Data Analyst Course Programme – Job Guarantee Included Complete online training designed to take you from zero experience to your first data analyst role. Study part-time, build fundamental skills, and get dedicated job placement support until you're hired. Flexible financing options available, with payment plans starting from as low as £142 per month. The Programme Complete this 10-week online training with just 10-15 hours per week of study time. You'll learn industry-standard tools, including Excel, SQL, Python, and Power BI, while building a professional portfolio with workplace projects. The programme includes earning BCS and CompTIA certifications recognised by UK employers, expert tutor support throughout your studies, and dedicated job placement support with CV help, interview preparation, and direct employer introductions. The Outcome 93% of graduates secure data analyst roles within 3 months. Starting salaries: £28,000 – £38,000 Who This Is For The programme is completely beginner friendly, so no experience needed. Career changers are welcome, and you can study at your own pace. *This programme is available to UK-based learners only. Ready to start earning in data? Limited spaces available. Apply now for the next available cohort.

One of the fastest growing insurers in the UK is looking for talented graduates to join their team! This company entered the UK market in 2015 and has grown rapidly over the past nine years. With rapid growth comes great opportunity for the right people. They are now looking to recruit highly motivated graduates to join their team as Underwriter/Analysts at their Head Office in Manchester. You’ll be joining a dynamic and supportive team that fosters a collaborative and energetic environment. This is an excellent opportunity to develop quickly alongside peers who are also starting their careers. Responsibilities of the Underwriter Analyst: • Work at the heart of the risk selection process, directly influencing the company’s profitability., • Gain exposure to clients across both the private and public sector, including some of the largest organisations in the UK., • Undertake a broad range of challenging and exciting tasks across Property, Casualty and Motor Fleet insurance., • Analyse data, present key conclusions, and participate in a range of operational projects across the UK and overseas., • Build strong relationships internally and externally to support business development and client retention., • Engage in a structured training programme from day one, gaining underwriting experience and support towards professional insurance qualifications. What we are looking for: • Recent Graduate calibre with a strong academic background., • Strong analytical competence and attention to detail., • Excellent communication skills and a desire to take on responsibility., • High level of IT competence; experience with Microsoft Excel, SQL and/or Python would be advantageous., • Enthusiastic about learning and developing within a fast-paced, results-driven environment., • Comfortable in a culture of open and direct communication. Why this business: • You'll play an important role in a company where your work has real impact., • They offer a collaborative, energetic environment with a focus on growth and development., • The training programme combines hands-on experience with professional study support., • You'll gain broad commercial exposure from the outset, working with senior stakeholders and high-profile clients., • Their values – Credible, Open, Bold, and Committed – guide everything they do. They’re proud of their culture and look for individuals who share these principles. Benefits of the Graduate Underwriter Analyst: • Excellent salary plus comprehensive benefits package., • Excellent pension scheme., • Private medical insurance including cashback scheme., • Hybrid working opportunities after probation., • 25 days holiday plus your birthday off., • Paid wellbeing days., • Enhanced family-friendly policies., • Career development support and training programmes., • Employee assistance programme, life insurance and additional lifestyle benefits. Ready to Launch Your Career? If you’re excited about this opportunity and ready to kickstart your career in the insurance industry, we’d love to hear from you. Please contact NJR Recruitment and quote job reference NJR15900 to learn more.

Contract Role – Data Fund Accounting/Investment Data mapping analyst– Manchester/Hybrid – 12 months Role Overview: • Job Title: Data Fund Accounting/Investment Data mapping analyst, • Location: Manchester/Hybrid (4 days onsite per week), • Contract Type: Contract, • Duration: 12 months, • Sector: Investment Banking Data Fund Accounting/Investment Data Mapping Analyst • Fund accounting or/and transfer agency, • Investments/ Investment, Financial services industry, • Source to target data mapping expertise across complex datasets, including transformation rules, dependencies, and timing., • Strong data analysis skills to identify gaps, inconsistencies, and data quality issues and propose pragmatic resolutions., • Clear documentation discipline, producing audit ready mapping specs, data dictionaries, and assumptions., • Hands on data interrogation capability using SQL and advanced Excel; comfortable with file based and warehouse data., • Effective stakeholder engagement, bridging business SMEs, data architects, and technology teams to clarify requirements., • High attention to detail with delivery focus, understanding downstream impacts on reporting, SLAs, and operations. Please also note: Due to the volume of applications received for positions, it will not be possible to respond to all applications and only applicants who are considered suitable for interview will be contacted.

Job Title: Data Analyst Ir35: Outside Rate: £450Location: Manchester (onsite 3 days pw)Contract: 6 month OverviewWe are looking for a Data Analyst to support delivery of data-driven insights and reporting. This role will focus on analysing large datasets, building data models, and developing dashboards to support decision-making. Key Responsibilities • Analyse and interpret complex data sets to identify trends and insights, • Design and develop data models to support reporting and analytics, • Build and maintain Power BI dashboards and reports for business users, • Work with stakeholders to understand requirements and translate them into data solutions, • Support data integration and storage using Microsoft Fabric or other data lake platforms, • Ensure data quality, consistency, and accuracy across reporting outputs Key Skills and Experience • Strong experience in data analysis and data modelling, • Proven track record using Power BI for reporting and visualisation, • Experience working with Microsoft Fabric or similar data lake/data platform technologies, • Solid understanding of data structures, ETL processes, and data pipelines, • Ability to communicate insights clearly to both technical and non-technical stakeholders, • Strong experience in data analysis and data modelling, • Proven track record using Power BI, SQL & DAX for reporting and visualisation Desirable • Experience working in a cloud-based data environment (Azure preferred), • Experience working in fast-paced delivery environmentsAlways use these settingsAlways use these settings

Senior Data & Insights Analyst £40,000 - £47,000 Manchester | Hybrid (2 days per week) This role offers the chance to sit at the centre of commercial decision-making, using data to influence real-time performance and senior stakeholder thinking. You will have clear ownership, strong visibility, and the opportunity to shape how insight is used across a fast-paced, operational environment. The Company They are a large, consumer-focused organisation where data plays a critical role in driving performance and improving outcomes. Analytics is well embedded in the business, with strong senior buy-in and a clear appetite for insight-led decision-making. The culture is collaborative, commercially minded, and supportive of flexible working and development. The Role • Lead day-to-day performance reporting and insight, delivering clear recommendations that influence operational and strategic decisions., • Partner closely with senior stakeholders across sales, digital, and operational teams to understand priorities and shape analytics outputs., • Build, own, and evolve dashboards that track performance and highlight opportunities for optimisation., • Translate complex data into concise, impactful stories that drive action., • Act as a trusted analytics partner, supporting leadership teams with timely, relevant insight. Your Skills & Experience • Strong SQL skills with the ability to work confidently with large, complex datasets., • Proven experience building dashboards in Power BI or Tableau, with strong data visualisation capability., • Solid understanding of DAX to create robust, scalable metrics and measures., • Strong stakeholder engagement skills, with the ability to influence, challenge, and communicate insight clearly to non-technical audiences., • Commercial mindset and experience delivering insight that drives performance. What They Offer • Competitive salary with performance-related bonus., • Hybrid working model with flexibility around working patterns., • Strong benefits package including pension and wellbeing support., • Clear progression opportunities and exposure to senior decision-makers within the business. Apply To register your interest, send your CV or apply below.

Senior BI Analyst (Tableau and SQL) £45,000 - £60,000 + extensive benefits Full Time / Permanent Manchester / Hybrid (2-3 days a week in the office) The Company My client are a well-established and innovative digital agency who deliver strategic consultancy, web development, and digital marketing to an impressive portfolio of high profile clients. The Role This is a growth related opportunity for an experienced Senior BI Analyst who is looking for a role where they can genuinely make a big impact in a short space of time. The Senior BI Analyst will take ownership of a cloud-based data infrastructure and reporting ecosystem playing a critical role in transforming fragmented data into trusted, structured systems that power decision-making across the business. This is a hybrid role working from my client's Manchester City Centre head office 2-3 days a week. Skills and Experience required • Must be a proven BI Analyst with strong technical expertise and a natural curiosity for data., • Must be a self-starter who loves getting stuck in and has a real passion for finding solutions., • It is essential to have proven commercial experience using Tableau to build dashboards and reports., • Must also have strong SQL skills and be comfortable writing and editing SQL queries to manipulate and extract data., • Any experience working with cloud-based tools like Google Sheets or HubSpot would be great but are not essential and can be learned. Please apply via the advert or contact Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers. By applying for this role your details will be submitted to Modis International Ltd and/ or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.

Are you looking to benefit from a new career in Data Analysis? If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future as a Data Analyst We do this using our specialised Data Analyst career programme which looks to assist and place qualified candidates into a career pathway in Data Analysis. Please note this career program is designed for entry level individuals with limited or no experience, so please do not apply if you are already an experience Data Analyst as we will be looking primarily at entry level roles. Demand for Data Analysts has grown 20% year on year with experienced analysts easily commanding salaries of £50k+. All business decisions rely on data to ensure correct business decisions are made and therefore the role of the data analyst in the new digital world has become essential for business owners. Below are current average salaries in the sector for lower-level positions and fully trained Data Analysts: • Junior Data Analyst - £30,000, • Data Analyst - £50,000, • Business Data Analyst - £67,500, • Data Analytics Analyst - £80,000, • Business Analysts - £60,000 Using our experience in providing data analysis and business analysis training online and through our expert recruitment consultants, we can provide a seamless journey and often fast-tracked route into a new career in Data Analysis. The courses in the package have been identified by our recruitment partners as industry standards for the UK/European and International Data Analysis sector. Skills shortages across all sectors are increasing the demand for qualified, entry-level career seekers and career changers. Whether you are working full-time, part-time or are unemployed, this job and recruitment package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks. Your job and career goals are completed in 4 easy steps listed below. Step 1 - CompTIA Data+ Qualification The first step is completing the CompTIA Data+ Qualification accredited by CompTIA. This professional international industry-recognised qualification teaches you the essential skills of a Data Analyst. You will cover skills such as data mining, manipulating data, visualising data, and reporting on data. Study time for the qualification is approximately 30 hours and qualification is achieved by completing a 1-hour multiple choice exam. The course is provided online and comes complete with exam simulators and revision tools. You will be provided with access to a tutor and a 1-hour online revision workshop prior to sitting your exam. This qualification will set you on a route to becoming a data analyst. Step 2 - Data Administration Training Data is extracted using various method which are normally IT driven. Therefore, we will provide you with access to the following additional courses to ensure you are suitably employable as a data analyst. • Microsoft excel - to expert level., • Learn SQL - the programming language used for extracting data from more complex databases., • Learn Python 3 - Python 3 is a simple to use programming language used by many analysts., • Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend. Study time for these courses is approximately 30-60 hours and qualification is achieved through completion of the course with no exam. Step 3 - Business Analysis Foundation Business Analysts and Data Analysts often work very closely together and indeed many Data Analysts become Business Analysts and vice versa. Adding a Business Analyst Foundation certificate will make you much more employable and enable you to cross over into business analyst roles and hybrid roles. Business Analysis Foundation accredited by the BCS (The British Computer Society also known as the Chartered Institute of IT). Study time for this course is approximately 15 hours and qualification is achieved through an online BCS exam. Step 4 - Recruitment Support Now you are qualified for an entry level data analyst position our recruitment support team will now begin collaborating with you to help you secure your first a suitable role based on your new qualifications and any other experience you may have. We have been helping candidates start and build careers in the project management industry since 2007 and have a 4.8 Trustscore on Trustpilot. Our Recruitment Support team will help you work through job applications, interviews and provide you with a full cv review based around your new qualification and written to maximise your chances of obtaining a role in the project management sector. They will provide you with guidance as to which roles our most suitable for you as an entry level project sector worker aiming to become a project manager. This will include mock job interviews as well as any help you feel you need. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we will refund your study fees minus the cost of the exams. However, we are normally able to help candidates find their first role within 6 months of qualifying and for locations based close to major cities this is often reduced to less than 3 months. Check our testimonials from the hundreds of candidates we have already helped. What Now? To accommodate candidates, the training element of the package is available on finance terms of up to 1 year. This enables you to get qualified and start in your new role without having to fund all the training costs up front. Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer any questions that you may have and to assist you in taking the first step towards your Data Analyst Career aspirations.

I’m partnered with a fast-growing, digital-first platform transforming their market, redefining their industry — making it faster, more transparent, and more convenient. They’re entering an exciting phase of rapid growth and are seeking a Pricing Analyst to join them on the journey. They currently operate with a lean, high-performance team, empowering individuals to make real impact and drive business growth. Pricing is at the heart of their business. As a Pricing Analyst, you’ll take ownership of a critical function that directly influences customer conversion, partner utilisation, and profitability. You’ll analyse data, identify pricing opportunities, and implement strategies that optimise both volume and margin in a highly competitive and dynamic market. Key Responsibilities.. • Own and optimise front-end and cost pricing strategies, • Analyse key metrics including pricing, • Develop and implement pricing tools to maximise revenue and conversion, • Use historical data to refine pricing logic, • Identify growth opportunities, • Monitor market trends, demand fluctuations, and cost changes to adjust pricing dynamically, • Present insights and recommendations clearly to senior stakeholders About You.. • 2-4 years experience within a similar role, • Strong degree (2:1 or above) in a STEM subject, • Advanced analytical skills with experience working on large datasets, • Strong technical skills (Excel required; SQL/Python desirable), • Ability to make logical decisions in the absence of complete data, • Confident communicator, able to explain complex insights clearly, • Highly motivated with a strong work ethic and ambition, • Comfortable working in a fast-moving, high-growth environment, • Team player with the ability to influence senior stakeholders Why Join.. • Be part of a disruptive, high-growth digital business, • Work directly with senior leadership and influence key decisions, • High ownership and autonomy from day one, • Fast-paced environment with real opportunity for progression, • Make a measurable impact on business performance If you’re excited by data, commercial impact, and the opportunity to shape pricing strategy in a scaling tech-enabled business in Manchester, please apply directly with an updated CV for consideration.

Job Title: Principal Pricing Analyst Locations: This can be a largely remote position with the occasion travel to the office closest to you. We have offices based in Manchester, Stoke, London and Peterborough. Role Overview We are looking for a Principal Pricing Analyst to join a quickly growing and developing pricing department across a range of insurance lines. You will utilise your technical expertise, in-depth knowledge of insurance industry and market leading tools to produce creative and actionable pricing solutions. This role requires a large element of coaching team members and championing best practice across the department. Reporting to the our Associate Director, you will make use of WTW Radar and Emblem and you will have responsibility for the development and maintenance of predictive models (GLM) and price optimisation including machine learning algorithms (GBM), LTV (Lifetime Value) and fair pricing principles. Ultimately creating value for our customers. Bringing best in class pricing experience, you’ll be expected to provide pricing proposals considering customer and commercial outcomes, communicating these in a compelling, impactful way to all levels of stakeholders to help us make the right decisions at the right times. You’ll work on multiple priorities within a fast paced, dynamic environment. You’ll need to be able to manage the expectations of stakeholders alongside prioritising your workload. As a Principal Pricing Analyst, you will use your advanced analytical skills to: • Be a key stakeholder influencing the direction & outcome of projects, • Provide technical leadership on WTW toolkit (in particular Radar Optimiser) to drive forward effective and efficient solutions, • Provide thought leadership on optimisation and modelling concepts, • Research, develop and champion the use of best practice methods and standards and ensure they are embedded throughout the department, • Lead the development of the Groups pricing capability, • Query large databases to extract and manipulate data that is fit for purpose, • Oversee and assist in the development and implementation of the market leading methodologies you've identified, • Continuously evaluate methodologies, understanding how they fit into the wider piece, and identify where they can be improved Key Skills and Experience: • Previous experience within general insurance pricing, • Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering, • Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL), • A quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science), • Experience of WTW’s Radar software, • Proficient at communicating results in a concise manner both verbally and written

Senior Pricing Analyst Locations: Peterborough, Manchester, Stoke, Southport, Kent, London, Cambridgeshire (Hybrid/Remote options available)Department: Retail PricingHybrid and largely remote options available Join a fast-paced, innovative environment where your pricing insights and analytical skills will directly influence strategic decisions and drive profitability across a diverse portfolio of personal lines products. About the Roles We’re looking for talented individuals at multiple levels — Senior Pricing Analyst — to join our growing Pricing function. Whether you’re deep into data modelling or ready to lead pricing strategies and performance frameworks, we have the right opportunity for you. Key Responsibilities Include: • Design and optimise pricing solutions aligned to business goals, • Develop and maintain performance monitoring frameworks and risk models, • Conduct in-depth analysis using predictive modelling to influence pricing decisions, • Collaborate with cross-functional teams (Underwriting, Technical Modelling, Data), • Champion innovation, continuous improvement, and pricing best practice, • Lead or contribute to strategic initiatives and tactical pricing interventions, • Coach and mentor junior analysts About You We’re looking for curious, data-driven minds with the following experience: • Proven experience in General Insurance Pricing (Personal Lines preferred), • Strong coding skills in Python, R, SQL, PySpark and SAS, • Experience with modelling techniques (GLMs, GBMs, Decision Trees, Neural Nets, Clustering), • Exposure to or expertise in WTW’s Radar or Emblem software, • Excellent communication skills — both written and verbal — with a commercial mindset Leadership candidates will also demonstrate: • Experience leading projects or teams, • Ability to shape strategy and drive cross-functional collaboration, • A passion for mentoring and developing talent Why Join Us? • Be part of a collaborative, inclusive team making a tangible business impact, • Work in a culture that values innovation and continuous learning, • Take advantage of hybrid flexibility and multiple UK office locations, • Progress your career through structured development opportunities and mentorship

Data Mapping Analyst – Manchester Atrium EMEA is looking for several Data Mapping Analysts to support the large scale client onboarding programme. This will involve extensive data review and mapping based on client requirements. The Data Mapping Analysts will be instrumental in working out what needs to be done with the data, what systems will be needed and then link the data together, to be able to deliver the report requests • Be resilient and work through the data based on the report requests, • Occasionally work out of hours and liaise with the developers in the US and the client across Europe, • Take a requirement from client, use the data dictionary, be able to pushback where needed to get the right information, then investigate what data is available. You must be able to think logically, • Investigate where the data leads to and where it comes from. Be able to raise data requests to the engineering teams re any builds/timelines Essential: • Source to target data mapping expertise across complex datasets, including transformation rules, dependencies, and timing., • Strong data analysis skills to identify gaps, inconsistencies, and data quality issues and propose pragmatic resolutions., • Clear documentation discipline, producing audit ready mapping specs, data dictionaries, and assumptions., • Hands on data interrogation capability using SQL and advanced Excel, • Comfortable with file based and warehouse data., • Effective stakeholder engagement, bridging business SMEs, data architects, and technology teams to clarify requirements., • High attention to detail with delivery focus, understanding downstream impacts on reporting, SLAs, and operations. Click Apply now/contact Lianne to be considered for the Data Mapping Analyst - Manchester role

Pricing Analyst Location: Peterborough, Manchester, Stoke, Southport (flexible hybrid working) Role purpose Responsible for supporting the delivery of pricing solutions that align with the company’s strategic goals and plans. This includes conducting in-depth analysis, developing predictive models, and influencing strategic decisions. Key Responsibilities • Support the delivery of pricing solutions, • Provide input into pricing processes, and champion continuous improvement, • Combine pricing expertise and commercial acumen to deliver outcomes which optimise the P&L, • Ensure all activity is compliant with pricing governance and follows established controls, • Work closely with the Modelling & Optimisation Pricing Team to ensure pricing models/approaches meet business objectives, • Manage relationships with key stakeholders around the business, • Mentor and coach more junior members of the team About you: • Experience within general insurance preferred, • Familiarity with retail pricing concepts, • Experience in statistical and data science programming languages (e.g. PySpark, SQL, Python, R), • A good quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science), • Experience of WTW’s Radar software is preferred, but not essential, • Good commercial acumen, • Proficient at communicating results in a concise manner both verbally and written, • Ability to analyse, understand and interpret data from varying sources

Data Analyst Location: Manchester (Hybrid: 1 day per week onsite, typically Wednesdays) Duration: August 2026 - April 2027 (Maternity Cover) Rate: £540/day / £72/hour (Inside IR35 / Paid via an Umbrella Company) About the Business We are a global leader in the travel technology sector, dedicated to making it easier for millions of customers to experience the world. This role sits within our Trips & Ground Transportation Business Unit, a high-velocity, tech-first division focused on creating a seamless, connected journey for travellers booking taxis and rail globally. The Role As a Data Analyst II, you will join our Ground Transportation Data Science & Analytics team. This is a highly visible, commercially impactful role where data drives every decision. You will operate with a high degree of independence, owning the entire data lifecycle from initial business problem definition and data preparation to complex experimentation and actionable product recommendations. You will act as a critical partner to Product Managers, Engineers, UX Researchers, and fellow analysts, translating complex data into clear, compelling narratives that shape our product roadmap. Key Responsibilities • End-to-End Analytics: Own the ingestion, cleansing, validation, aggregation, and reporting of complex datasets to create scalable, long-term analytics solutions., • Experimentation & Insight: Design, execute, and analyse A/B (and multivariate) tests to measure the success of new product features and business initiatives., • Stakeholder Influence: Autonomously partner with cross-functional teams, translating non-technical business requirements into rigorous analytical frameworks and data stories., • Mentorship: Act as a force multiplier by coaching, mentoring, and peer-reviewing the work of junior colleagues. What We Are Looking For • The Core Tech Stack: Advanced proficiency in Python (most critical), PySpark, SQL, and Snowflake., • Experimentation Expertise: Strong, demonstrable working knowledge of experiment design, A/B testing methodologies, and randomisation., • Data Visualisation: Expert capability in transforming data into insight using tools like Tableau (our primary reporting tool) or Power BI., • Behavioural Analytics: Experience tracking customer behaviour and events using tools like Google Analytics, Adobe Analytics, or Google Tag Manager., • Mindset: An autonomous, commercially-minded analytical thinker who thrives in a fast-paced, evidence-based product environment. Nice to Have • Background in travel, transport, fast-moving digital marketplaces, or consumer-facing digital products., • Experience with causal inference techniques., • Exposure to Machine Learning model development or familiarity with AI development tools (e.g., Claude, Cursor, Windsurf).

Power Platform / BI Engineer Manchester - Hybrid (3 days on-site) £55,000 - £70,000 + Life Insurance + PensionAre you an experienced Power Platform and BI Engineer looking to join a specialist digital consultancy where you can shape modern data and automation solutions within complex, regulated environments, building foundations rather than inheriting someone else's?This is a permanent role within an ambitious, growing consultancy specialising in project controls, data, and digital transformation. Already embedded in some of the UK's most significant infrastructure programmes across defence, energy, and utilities.The environments are complex and regulated, large-scale programmes with evolving data maturity, real governance requirements, and stakeholders who depend on accurate, timely insight.The work is hands-on and greenfield in nature, building reporting, automation, and data foundations using the Microsoft Power Platform, helping organisations move away from manual, fragmented processes towards scalable, reliable insight. Working closely with a Data Analyst, you will translate business needs into well-structured, secure, and maintainable solutions.This is a great opportunity this offering technical variety, visible impact, and within key infrastructure programmes.The Role: Build and optimise end-to-end Power BI solutions including semantic models, DAX measures, incremental refresh, and performance tuning Design and operate Power Automate flows with robust error handling and monitoring across ingestion, transformation, validation, and refresh cycles Integrate data from SharePoint, SQL, REST APIs, and Excel-based sources with validated transformations, documented lineage, and clear metadata Implement CI/CD pipelines, DevOps practices, and governance standards across environments, access controls, and solution lifecycle managementThe Person: Strong hands-on Power BI development experience including data modelling, DAX, optimisation, and incremental refresh Power Automate experience building robust, monitored flows with proven error handling in production environments Solid SQL and data handling skills, shaping, validating, and working with inconsistent, real-world datasets across multiple source systems Experience implementing CI/CD and DevOps practices within Power Platform; familiarity with governance frameworks and REST API consumption desirable Rise Technical Recruitment Ltd acts an employment agency for permanent roles and an employment business for temporary roles. The salary advertised is the bracket available for this position. The actual salary paid will be dependent on your level of experience, qualifications and skill set and will be decided by our client, the employer. Rise are not responsible or liable for any hiring decisions made by the end client. We are an equal opportunities company and welcome applications from all suitable candidates.

Data Mapping Analyst – Fund Services Location: Manchester Pay: £506 - £600/day Duration: 12 months • Source to target data mapping expertise across complex datasets, including transformation rules, dependencies, and timing., • Strong data analysis skills to identify gaps, inconsistencies, and data quality issues and propose pragmatic resolutions., • Clear documentation discipline, producing audit ready mapping specs, data dictionaries, and assumptions., • Hands on data interrogation capability using SQL and advanced Excel; comfortable with file based and warehouse data., • Effective stakeholder engagement, bridging business SMEs, data architects, and technology teams to clarify requirements., • High attention to detail with delivery focus, understanding downstream impacts on reporting, SLAs, and operations.

Senior Data Analyst £80,000 - £90,000 Remote (UK-Based Only) As a Senior Data Analyst, you will have genuine influence across multiple teams, shaping how data is used to drive customer growth, retention, and product performance in a highly collaborative environment. THE COMPANY They are a high-growth online gambling and sports betting platform backed by significant recent investment and focused on delivering an intuitive, mobile-first user experience. THE ROLE As a Senior Data Analyst, you will partner with stakeholders across the organisation to turn complex questions into actionable insights. Specifically, you can expect to be involved in the following: • Analysing customer behaviour, retention, churn, and lifecycle performance., • Partnering with Product, Growth, CRM, Commercial, and Trading team., • Translating ambiguous business challenges into structured analytical approaches., • Building dashboards, reports, and decision-support tools., • Supporting CRM and customer engagement strategies with data-driven insights., • Identifying trends, risks, and commercial opportunities through analysis., • Communicating insights clearly to both technical and non-technical audiences. SKILLS AND EXPERIENCE The successful Senior Data Analyst will have the following skills and experience: • Strong SQL and core analytical capability., • Experience across customer, commercial, CRM, or product analytics., • Proven ability to analyse customer behaviour, retention, or lifecycle metrics., • Strong stakeholder management and communication skills., • Strong BI and reporting experience., • Comfortable working in fast-paced and ambiguous environments., • Familiarity with modern data tools such as Snowflake, dbt, or similar platforms is advantageous. BENEFITS The successful Senior Data Analyst will receive the following benefits: • Salary between £80,000 - £90,000 - depending on experience HOW TO APPLY Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

Data Analyst Manchester City Centre (Hybrid) £50,000 Overview We are seeking experienced Data Analysts to join a growing, data-driven team. This role is ideal for individuals who are passionate about working hands-on with data, uncovering insights, and supporting data-led decision making. You will play a key role in interpreting and validating data, identifying trends and drivers, and communicating findings clearly to stakeholders. The successful candidate will be highly analytical, detail-oriented, and comfortable working in a fast-paced environment with evolving datasets. Data Analyst Responsibilities • Perform exploratory data analysis across both structured and unstructured datasets, • Conduct detailed data profiling using Excel, SQL, and other specialised tools, • Deliver segmentation, trend analysis, and anomaly/outlier detection, • Reconcile and validat, • e data across multiple systems and sources, • Present insights in a clear, concise format, including assumptions and confidence levels, • Collaborate with Data Stewards to support data discovery and insight generation, • Partner with Data Engineering teams to support the onboarding and integration of new data sources, • Ensure appropriate handling and governance of sensitive and regulated data (including PII) As Data Analyst, you will have: • Proven experience in a Data Analyst, Business Intelligence, or Analytics role, • Experience within financial services or alternative investments is highly desirable, • Strong knowledge of financial data domains (e.g. IBOR/ABOR, transactions, market data, reference data), • Advanced proficiency in Excel and SQL (essential), • Experience with Power BI is advantageous, • Exposure to Python is beneficial Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates

Are you looking to benefit from a new career in Data Analysis? If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future as a Data Analyst We do this using our specialised Data Analyst career programme which looks to assist and place qualified candidates into a career pathway in Data Analysis. Please note this career program is designed for entry level individuals with limited or no experience, so please do not apply if you are already an experience Data Analyst as we will be looking primarily at entry level roles. Demand for Data Analysts has grown 20% year on year with experienced analysts easily commanding salaries of £50k+. All business decisions rely on data to ensure correct business decisions are made and therefore the role of the data analyst in the new digital world has become essential for business owners. Below are current average salaries in the sector for lower-level positions and fully trained Data Analysts: • Junior Data Analyst - £30,000, • Data Analyst - £50,000, • Business Data Analyst - £67,500, • Data Analytics Analyst - £80,000, • Business Analysts - £60,000 Using our experience in providing data analysis and business analysis training online and through our expert recruitment consultants, we can provide a seamless journey and often fast-tracked route into a new career in Data Analysis. The courses in the package have been identified by our recruitment partners as industry standards for the UK/European and International Data Analysis sector. Skills shortages across all sectors are increasing the demand for qualified, entry-level career seekers and career changers. Whether you are working full-time, part-time or are unemployed, this job and recruitment package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks. Your job and career goals are completed in 4 easy steps listed below. Step 1 - CompTIA Data+ Qualification The first step is completing the CompTIA Data+ Qualification accredited by CompTIA. This professional international industry-recognised qualification teaches you the essential skills of a Data Analyst. You will cover skills such as data mining, manipulating data, visualising data, and reporting on data. Study time for the qualification is approximately 30 hours and qualification is achieved by completing a 1-hour multiple choice exam. The course is provided online and comes complete with exam simulators and revision tools. You will be provided with access to a tutor and a 1-hour online revision workshop prior to sitting your exam. This qualification will set you on a route to becoming a data analyst. Step 2 - Data Administration Training Data is extracted using various method which are normally IT driven. Therefore, we will provide you with access to the following additional courses to ensure you are suitably employable as a data analyst. • Microsoft excel - to expert level., • Learn SQL - the programming language used for extracting data from more complex databases., • Learn Python 3 - Python 3 is a simple to use programming language used by many analysts., • Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend. Study time for these courses is approximately 30-60 hours and qualification is achieved through completion of the course with no exam. Step 3 - Business Analysis Foundation Business Analysts and Data Analysts often work very closely together and indeed many Data Analysts become Business Analysts and vice versa. Adding a Business Analyst Foundation certificate will make you much more employable and enable you to cross over into business analyst roles and hybrid roles. Business Analysis Foundation accredited by the BCS (The British Computer Society also known as the Chartered Institute of IT). Study time for this course is approximately 15 hours and qualification is achieved through an online BCS exam. Step 4 - Recruitment Support Now you are qualified for an entry level data analyst position our recruitment support team will now begin collaborating with you to help you secure your first a suitable role based on your new qualifications and any other experience you may have. We have been helping candidates start and build careers in the project management industry since 2007 and have a 4.8 Trustscore on Trustpilot. Our Recruitment Support team will help you work through job applications, interviews and provide you with a full cv review based around your new qualification and written to maximise your chances of obtaining a role in the project management sector. They will provide you with guidance as to which roles our most suitable for you as an entry level project sector worker aiming to become a project manager. This will include mock job interviews as well as any help you feel you need. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we will refund your study fees minus the cost of the exams. However, we are normally able to help candidates find their first role within 6 months of qualifying and for locations based close to major cities this is often reduced to less than 3 months. Check our testimonials from the hundreds of candidates we have already helped. What Now? To accommodate candidates, the training element of the package is available on finance terms of up to 1 year. This enables you to get qualified and start in your new role without having to fund all the training costs up front. Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer any questions that you may have and to assist you in taking the first step towards your Data Analyst Career aspirations.

Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. Job Title: Data Analyst Location: Manchester - Hybrid Contract: 12 months contract Rate: £450 - £500 inside umbrella Key Responsibilities: • Perform source-to-target data mapping across complex datasets, defining transformation rules, dependencies, and timing., • Analyze data to identify gaps, inconsistencies, and quality issues, and recommend practical solutions., • Produce clear, audit-ready documentation including mapping specifications, data dictionaries, and assumptions., • Interrogate and manipulate data using SQL and advanced Excel across file-based and warehouse environments., • Collaborate with business SMEs, data architects, and technology teams to clarify and translate requirements., • Ensure high attention to detail, considering downstream impacts on reporting, SLAs, and operations. Key Skills: • Strong data analysis and problem-solving capabilities, • Proficiency in SQL and Excel, • Excellent documentation and communication skills, • Stakeholder management and cross-functional collaboration, • Detail-oriented with a strong delivery focus 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. We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention.

Senior Intelligence Analyst - Children's Services • £42,839 - £47,181 per annum + great benefits, • Hybrid with 1 day per week on-site in Greater Manchester Join a high-performing team within the Children & Young People's Directorate, where data and intelligence are central to shaping strategic decision-making, service delivery, and organisational priorities. As a Senior Intelligence Analyst, you will play a pivotal role in transforming complex data into actionable insight, influencing policy, strategy, and operational improvement across Children's Services. Working closely with senior stakeholders, you will act as a trusted advisor, ensuring that intelligence and evidence underpin key decisions and drive better outcomes for children and families. Key Responsibilities • Lead the analysis and interpretation of complex datasets, providing high-quality insight to inform strategic decision-making, identify emerging trends, and highlight areas of risk and opportunity across Children's Services., • Design and deliver advanced reporting outputs, including dashboards, forecasts, briefings, and presentations, tailored to a wide range of stakeholders, from operational teams to senior leadership., • Champion data-driven decision-making, developing tools, frameworks, and guidance that embed evidence-based practice across the organisation., • Oversee the effective use of Business Intelligence systems, ensuring data is accurately captured, validated, analysed, and presented to a high standard, supporting key performance and statutory reporting requirements., • Build and maintain strong stakeholder relationships, acting as a key point of expertise and providing strategic advice on data, intelligence, and insight to both internal teams and external partners., • Ensure compliance with statutory data returns and regulatory requirements, providing robust, audit-ready evidence to support inspections, peer reviews, and external scrutiny., • Support continuous service improvement, proactively identifying opportunities to enhance data quality, reporting processes, and analytical capabilities across the Directorate. Required Skills & Qualifications: • Proven experience in data analysis, with the ability to interpret and derive meaningful insights from children's or adult social care datasets to support decision-making and service improvement., • Practical experience with social care case management systems, ideally Mosaic; experience with Liquidlogic (LCS/EHM) or CareFirst will also be considered., • Advanced analytical and technical skills, including proficiency in SQL and Excel, alongside experience using data visualisation tools (eg Power BI, Tableau) and/or GIS systems to present complex data clearly., • Strong stakeholder engagement skills, with a demonstrable ability to build effective working relationships across all organisational levels and communicate insights through a variety of formats (reports, dashboards, briefings, presentations)., • Sound knowledge of statutory reporting requirements and data collections, with an understanding of key policy areas impacting Children's Services and wider local government., • Excellent communication skills, both written and verbal, with the ability to translate complex data into clear, concise, and actionable insights for both technical and non-technical audiences. In the first instance please submit your CV.

Data Mapping Analyst – Manchester Atrium EMEA is looking for several Data Mapping Analysts to support the large scale client onboarding programme. This will involve extensive data review and mapping based on client requirements. The Data Mapping Analysts will be instrumental in working out what needs to be done with the data, what systems will be needed and then link the data together, to be able to deliver the report requests. 4 days onsite work required, 1 day WFH • Be resilient and work through the data based on the report requests, • Occasionally work out of hours and liaise with the developers in the US and the client across Europe, • Take a requirement from client, use the data dictionary, be able to pushback where needed to get the right information, then investigate what data is available. You must be able to think logically, • Investigate where the data leads to and where it comes from. Be able to raise data requests to the engineering teams re any builds/timelines Essential: • Source to target data mapping expertise across complex datasets, including transformation rules, dependencies, and timing., • Strong data analysis skills to identify gaps, inconsistencies, and data quality issues and propose pragmatic resolutions., • Clear documentation discipline, producing audit ready mapping specs, data dictionaries, and assumptions., • Hands on data interrogation capability using SQL and advanced Excel, • Comfortable with file based and warehouse data., • Effective stakeholder engagement, bridging business SMEs, data architects, and technology teams to clarify requirements., • High attention to detail with delivery focus, understanding downstream impacts on reporting, SLAs, and operations. Click Apply now/contact Lianne to be considered for the Data Mapping Analyst - Manchester role

Data Analyst Location: Edinburgh or Manchester (Hybrid – 1 day onsite per week, Wednesdays) Type: Contract Overview We’re looking for a highly data-focused Data Analyst to support the development of data products within a modern AWS-based architecture. This role is centred on deep data analysis and discovery (70%), alongside logical data modelling (30%), helping shape how raw data is standardised, structured, and consumed. You’ll work closely with engineering teams, translating business needs into technical user stories and supporting the evolution of scalable data solutions. Key Responsibilities Data Analysis & Discovery (70%) • Conduct detailed data discovery across multiple datasets, identifying structure, quality, and relationships, • Investigate and interrogate data to uncover insights and anomalies, • Work hands-on with SQL to query and analyse large datasets, • Support data grouping, profiling, and exploration activities, • Collaborate with stakeholders to define data requirements and translate these into actionable outputs, • Contribute to the creation and refinement of data products Data Modelling (30%) • Develop and maintain logical data models (LDM), • Map and align data structures to Federated Data Models (FDM), • Support data standardisation processes, particularly from raw data sources, • Work closely with architecture and engineering teams on data product architecture, • Ensure consistency and best practice across data modelling and design Technical Environment & Experience • Strong SQL skills (essential), • Experience working with AWS (including S3 buckets), • Exposure to data product architecture, • Understanding of raw data ingestion and standardisation, • Experience collaborating with data engineering / extract engineering teams, • Ability to write and refine technical user stories Skills & Profile • Highly analytical with a strong focus on data investigation and discovery, • Comfortable working in data-heavy, complex environments, • Strong understanding of logical data modelling principles, • Ability to bridge the gap between business needs and technical delivery, • Proactive, detail-oriented, and confident working with ambiguous datasets Additional Information • Hybrid working: 1 day per week onsite (Wednesday) in either Edinburgh or Manchester, • Flexible engagement options available, • Fast-paced, delivery-focused environment

Data Mapping Analyst – Fund Services Location: Manchester Pay: £506 - £600/day Duration: 12 months • Source to target data mapping expertise across complex datasets, including transformation rules, dependencies, and timing, • Strong data analysis skills to identify gaps, inconsistencies, and data quality issues and propose pragmatic resolutions., • Clear documentation discipline, producing audit ready mapping specs, data dictionaries, and assumptions., • Hands on data interrogation capability using SQL and advanced Excel; comfortable with file based and warehouse data., • Effective stakeholder engagement, bridging business SMEs, data architects, and technology teams to clarify requirements, • High attention to detail with delivery focus, understanding downstream impacts on reporting, SLAs, and operations

We are currently partnering with an established Pension and Actuarial firm who have an interesting new role for a Pension Administration Systems Analyst to join a growing team. This is an excellent opportunity for an experienced pensions professional with strong analytical and systems skills to play a key role in supporting and enhancing the pension administration platforms. Working closely with our pensions administration teams, you will help deliver system improvements, support data migrations, configure workflows and reports, and contribute to the successful implementation of new clients and projects. Key Responsibilities • Act as a key liaison between the systems team and pensions administration teams, understanding user requirements and translating them into effective system solutions., • Undertake data migrations for new clients., • Manage data migrations onto the Pension Payroll system for new payroll clients., • Maintain and improve implementation guidance, controls, processes and documentation. The right candidate will ideally possess the following attributes: • Previous experience in a Defined Benefit (DB), Defined Contribution (DC), pensions administration or related role., • Strong understanding of pension administration processes and systems., • Good knowledge of the data migration lifecycle and associated requirements., • Experience using data migration tools and methodologies., • Advanced Microsoft Excel skills., • Experience of data migration software and tools would be advantageous., • Working knowledge of SQL and/or VBA would be beneficial In return this role offers the opportunity to work on a variety of challenging projects, develop specialist pensions systems expertise, and contribute to the continuous improvement of services as well as the opportunity to join a supportive team environment that encourages professional development and values innovation, collaboration and excellence. If you are an experienced pensions professional with a passion for systems, data and process improvement this could be the ideal role for you.

My client is a fast-growing e-commerce business, rapidly expanding. The role: Data Analyst Skillset: Must haves; • SQL, • Power BI report development (including DAX, Power Query, Parameters), • Semantic model development, • Advanced Excel skills, including Data Connections, Power Query, and Power Pivot, • Intermediate or advanced T-SQL, • Debugging and troubleshooting skills, • Experience with Sage 200, Linnworks, Peoplevox or Google Analytics 4 (GA4) is beneficial, though transferable skills from similar systems are equally valued. Desirable; • Microsoft Fabric or other cloud data services incorporating data lake, data warehouse, data pipelines, analytics & business intelligence, • Power BI calculation groups, bookmarks, semantic model incremental refresh, • Tabular Editor, • Excel dynamic array functions, • Python, Pandas, NumPy, Matplotlib, • Sage 200, • Linnworks, • Peoplevox, • Google Analytics (GA4) Working arrangements: 5 days a week, onsite, Salford, Manchester. They are looking for an experienced Data Analyst to join their growing data team and make a real impact. You’ll have experience gathering and manipulating data from multiple systems to deliver meaningful business insights, and be confident in challenging requirements to refine briefs. As a guardian of data, you’ll take a proactive approach to maintaining and improving data security. You’ll support teams across e-commerce, finance, buying, merchandising and warehousing by handling ad-hoc analysis and data requests, while contributing to projects that improve automation, data integrity and reporting. This is a varied role extending beyond reporting, including system configuration, bulk data operations and supporting some manual processes. Excellent benefits: • Generous salary, • Enhanced annual holiday allowance of 25 days + 8 bank holidays, • Choice of start and finish times, • Free on-site parking, • Modern offices If you are interested in this role, please apply today. Ascent People is acting as an employment agency for this vacancy. Applications from all ages and backgrounds will be considered.

Senior/Principal Pricing Analyst Manchester (Hybrid - 2-3 Days per Week in Office) Competitive Salary + Bonus + Excellent Benefits Reference: J13135 Our client is investing significantly in the future of its Pricing & Analytics capability, expanding its use of advanced modelling, optimisation techniques, and customer value analytics to support smarter commercial decision-making. As a Senior/Principal Pricing Analyst you will play a key role in shaping pricing strategy across a portfolio of personal lines insurance products. This is an opportunity for an experienced pricing professional who combines deep technical expertise with commercial acumen and leadership capability. The successful candidate will be comfortable operating at both a strategic and hands-on level, leading complex analytical projects, influencing senior stakeholders, and supporting the development of more junior team members. The Role Working within a highly visible Pricing & Analytics function, you will lead the development of advanced pricing and optimisation solutions designed to improve profitability, customer outcomes, retention, and long-term value. You will leverage sophisticated modelling techniques to understand customer behaviour, price sensitivity, and demand, translating insight into actionable pricing strategies that deliver measurable commercial impact. Alongside your technical responsibilities, you will provide mentoring and guidance to analysts within the team and help drive best practice across pricing and analytics. Key Responsibilities • Lead the design, development, and implementation of pricing and optimisation strategies across personal lines insurance products., • Analyse customer behaviour, price elasticity, retention, and demand to identify opportunities for profitable growth., • Develop and enhance predictive models using statistical and machine learning techniques., • Support the development of customer lifetime value and retention frameworks to improve pricing decisions., • Utilise pricing, competitor, and behavioural data to optimise customer outcomes and trading performance., • Deliver clear recommendations and insights to senior stakeholders across Pricing, Commercial, Finance, and Data functions., • Monitor model performance and identify opportunities for continuous improvement., • Ensure pricing approaches remain aligned to regulatory requirements, fair value principles, and business objectives., • Mentor and support junior analysts, helping to develop technical capability across the team., • Contribute to the strategic direction of the Pricing function and support wider transformation initiatives. About You We are looking for a senior pricing professional who can combine strong analytical capability with stakeholder management and leadership skills. You will have: • Significant experience within Personal Lines Insurance Pricing., • A strong understanding of pricing strategy, optimisation, customer behaviour, and commercial performance drivers., • Experience developing and deploying predictive models within a pricing environment., • Strong knowledge of pricing methodologies, statistical techniques, and analytical best practice., • Experience working with large and complex datasets to solve commercial challenges., • The ability to communicate technical findings to both technical and non-technical audiences., • Experience mentoring, coaching, or managing analysts, with a genuine interest in developing others., • Strong stakeholder management skills and experience influencing decision-making at senior levels., • A proactive and commercially focused mindset with the ability to balance technical excellence with business outcomes. Technical Skills Experience with several of the following: • Python, • SQL, • SAS, • R, • Snowflake, • Databricks, • Power BI, • Tableau, • Machine Learning and Predictive Modelling Techniques, • GLMs, GBMs, Demand and Behavioural Modelling What's on Offer? • Opportunity to influence pricing strategy at a senior level., • Exposure to high-profile, commercially impactful projects., • Significant investment in analytics, technology, and pricing capabilities., • A collaborative environment with strong opportunities for career progression., • Hybrid working and competitive reward package. Please note: Applicants must have the right to work in the UK. Visa sponsorship is not available for this role. Apply now to be considered for this exciting opportunity to help shape the future of pricing and analytics within a market-leading organisation.

Job Title: Technical Consultant Remote £35,000 We are seeking an analytical and detail-oriented Data & Reporting Analyst with strong SQL and technical consulting skills to support and enhance our finance and accounting software solutions for small to medium-sized businesses. This role combines data analysis, reporting, and client-facing technical support to deliver accurate insights and system improvements. Key Responsibilities: • Write and optimise SQL queries to extract, analyse, and manipulate financial data, • Design, build, and maintain reports and data outputs for business users, • Analyse financial and operational data to provide meaningful insights to clients, • Support clients with data-related queries, troubleshooting issues, and resolving discrepancies, • Provide technical consulting on system configuration, data structures, and reporting capabilities, • Work closely with customers to understand their reporting needs and translate them into effective data solutions, • Assist with implementation and onboarding of new clients, including data setup and validation, • Investigate and resolve system or data issues, ensuring accuracy and reliability, • Collaborate with internal teams to improve system performance and reporting functionality, • Maintain clear documentation for queries, reports, and support processes Required Skills & Experience: • Strong SQL skills (query writing, joins, data manipulation), • Proven experience in data analysis and reporting, • Analytical mindset with the ability to interpret complex datasets, • Background in technical support, application support, or consulting, • Understanding of accounting principles (e.g. ledgers, invoicing, financial reporting) is highly desirable, • Excellent problem-solving and troubleshooting abilities, • Strong communication skills, with the ability to explain data and technical concepts to non-technical users Key Attributes: • Detail-oriented and highly organised, • Client-focused with a proactive approach to problem-solving, • Able to balance technical work with customer interaction, • Curious and driven to continuously improve reporting and data processes Summary: This role sits at the intersection of data analysis, reporting, technical support, and financial systems consulting. It is ideal for someone who enjoys working with data, building reports, solving problems, and helping businesses gain valuable insights from their financial systems.

The Firm Established in 2020, KP Law (previously Keller Postman) is a specialist litigation boutique, focussing on collective redress. The firm has over 100 employees across offices in London, Manchester, Birmingham, and Liverpool, representing over 250,000 individual clients across a range of cases in areas such as product liability, competition, worker rights, data breach and privacy and financial services. Our ethos is to combine the best legal talent with a strong operational and technological platform to enable its clients to pursue cases that could not otherwise be brought against large corporates as a result of their wrongdoing. Uniquely, KP Law is owned and fully financed by a recognised UK litigation funder (Legatus Holdings), this allows us to take on larger, headline making cases with greater efficiency and confidence. All of our cases are for claimants and carried out under contingent fee agreements at no cost or risk to its clients. KP Law was ranked Tier 1 for Group Litigation: Claimant in The Legal 500 UK Guide 2026, and Band 2 for Group Litigation: Claimant in Chambers and Partners 2026. The Role Role Summary As a Data Analyst you will play a pivotal role in providing valuable insights and analysis to internal and external customers. Working in a small team, you will collaborate with Legal teams, data engineers and developers to strengthen data-driven decision-making across the organisation. By delivering high quality analytical solutions across reporting solutions such as Power BI, the Data Analyst enables teams to make informed decisions, identify performance drivers, and continuously improve operational outcomes. Key Responsibilities: Reporting & Data Visualisation • Design, build, and maintain reports and dashboards that turn complex data into clear, actionable insights, • Apply data visualisation best practices to effectively communicate findings to varied audiences, • Automate routine and recurring reports to improve efficiency and consistency. Data Analysis & Insight • Analyse large and complex datasets to identify trends, patterns, and opportunities aligned to business objectives, • Provide analytical support to inform key business initiatives and decision making, • Generate meaningful insights to support both operational and strategic outcomes Stakeholder Engagement • Collaborate with business teams to gather reporting requirements and translate them into technical specifications., • Provide guidance and training to end‑users on accessing, interpreting, and leveraging reports and dashboards effectively., • Present insights and recommendations that influence operational and strategic decision‑making. Data Quality, Governance & Integrity • Ensure data quality, accuracy, and consistency across all reports and analytical outputs, • Carry out regular data cleansing, validation, and reconciliation activities, • Support the implementation and adherence to data governance policies and standards Documentation & Knowledge Sharing • Document methodologies, processes, and outputs to promote transparency, repeatability, and knowledge sharing Continuous Improvement • Monitor the performance of existing reports and dashboards, implementing improvements where needed., • Contribute to the development of reporting standards, documentation, data definitions, and governance practices. Essential Skills & Experience: ·Degree in a STEM subject or experience in data analysis or business intelligence. ·Proficiency in Power BI, including data modelling, DAX, and visualisation best practices. ·Strong analytical skills with the ability to interpret complex datasets. ·Solid SQL skills for querying and preparing data. ·Experience working with stakeholders to understand needs and present findings. ·High attention to detail and strong data quality mindset. Desirable Skills & Attributes: ·Experience working with Databricks for data transformation or analytics workflows. ·Experience developing Salesforce reports and dashboards. ·Foundational knowledge of Python for data manipulation, automation, or analysis. ·Experience with cloud data environments such as Azure or AWS. ·Familiarity with ETL tools, or similar data‑integration technologies. ·Understanding of data modelling concepts. ·Familiarity with legal industry data and metrics. Equal Opportunities Our approach to our people is underpinned by our commitment to equity, diversity, inclusion and well-being. Our ambition is to build a richly diverse workforce made up of the best talent in our industry. With a workplace that is supportive and inclusive, recognises and nurtures talent, and has a strong sense of community between colleagues. This means that everyone who either applies to or works for KP Law is treated equally, regardless of their gender, age, ethnic origin, nationality, marital status, disability, sexual orientation, or religious beliefs. Our Values At KP Law, we pride ourselves on being a values-led law firm. Excellence in Everything ·We deliver high-quality work, ensuring accuracy, and attention to detail in everything we do. ·We seek continuing competence by embracing feedback, learning from our experiences and that of others, and developing our expertise. ·We hold ourselves and each other to account for upholding the highest professional standards, ensuring our clients receive exceptional service. Together We Achieve More ·We collaborate openly, valuing and respecting diverse perspectives to achieve the best results. ·We support and trust one another, fostering an inclusive environment where everyone can contribute and thrive. ·We recognise that success is a team effort, sharing knowledge and celebrating each other’s achievements. There’s Always a Way ·We approach challenges with a positive and proactive mindset, exploring creative and practical solutions. ·We take ownership of problems, staying committed and resilient until we achieve the best outcome. ·We embrace change and adaptability, seeing obstacles as opportunities to improve and innovate. Our Benefits We strive to offer a rounded benefits package, that employees value, no matter what stage of their career they are in. Current benefits include: • Annual discretionary bonus scheme, • Company contributory pension scheme, • Hybrid working, • Life assurance, • Cash-back healthcare scheme, • Enhanced family friendly polices, • Employee Assistance Programme, • Subsidised gym membership, • Cycle to Work scheme, • Staff referral scheme

12 month fixed term contract Manchester or Slough (Hybrid 8 days a month in office) Competitive + Bonus We’re looking for a detail‑oriented and analytically driven Customer Success Operations Analyst to join our Customer Success & Renewals Operations team for a 12 month fixed term contract. Reporting into the Senior Director of Customer Success, you’ll play a hands‑on role supporting the systems, data, and operational insights that underpin our global Customer Success organisation. This is an excellent opportunity to develop deep expertise in CS Operations within a high‑growth B2B SaaS environment. You’ll work closely with the Director of CS Operations, Customer Success leadership, and cross‑functional RevOps partners, contributing directly to retention, renewal, and expansion outcomes. What You’ll Be Doing • Supporting the administration and ongoing configuration of Gainsight, including health scores, playbooks, CTAs, and Journey Orchestrator campaigns, • Helping manage integrations between Gainsight, Salesforce, NetSuite, and support platforms, monitoring data flows and resolving data quality issues in partnership with RevTech and Data teams, • Building and maintaining dashboards, reports, and operational insights across Gainsight, Salesforce, and BI tools, tracking key metrics such as GRR, NRR, churn, customer health, and expansion performance, • Preparing QBR materials, renewal forecasts, and leadership reporting, and supporting data reconciliation across Customer Success, Sales, and Finance, • Analysing customer lifecycle and health data to identify trends, risks, and opportunities, supporting proactive churn identification, • Maintaining and supporting documentation for CS playbooks, onboarding journeys, renewal workflows, and escalation processes, • Assisting with testing and quality assurance of system and configuration changes prior to wider rollout, • Providing day‑to‑day operational support to the Customer Success and Renewals teams, responding to ad‑hoc data, reporting, and system requests, • Collaborating cross‑functionally with Sales Ops, Marketing Ops, RevOps, Data, and IT on reporting alignment and operational initiatives What We’re Looking For Essential • 2+ years’ experience in Customer Success Operations, Revenue Operations, Sales Operations, or a related analytical GTM role, • Strong experience with Salesforce, including report and dashboard building, • Proven analytical skills with confidence working with large datasets and translating insights into clear outputs, • Experience building reports in Gainsight, Salesforce, or BI tools (Tableau, Looker, Power BI), • High attention to detail, strong data ownership, and a proactive, self‑starting mindset, • Comfortable working in a fast‑paced, matrixed environment with non‑technical stakeholders Desirable • Hands‑on experience with Gainsight or similar CS platforms (e.g. ChurnZero, Totango), • Familiarity with NetSuite or ERP / finance systems, • Working knowledge of SQL or data querying tools, • Understanding of SaaS customer lifecycle, renewals, and expansion, • Exposure to operational documentation or change management Please note: We occasionally close vacancies early in the event that we receive a high volume of applications. Therefore we recommend you apply as soon as possible.

I am pleased to represent a forward-thinking green tech ESG practice, collaborating with FTSE100 clients to deliver Energy & ESG as a Service who are looking for an experienced Back End Developer & Data Analyst to their team. Their solutions empower organizations to measure and optimize emissions, consumption, and spend, using cutting-edge software and data-driven insights. They are a Manchester based organisation, with offices in central Manchester. The role is split 70% back end development, 30% data analysis. Minimum Requirements: You will be local to Manchester and travel into the office once a week. You will have fluency in English. The Opportunity You will join their Technology & Data Sciences Teams, offering flexible, fast-paced work and the chance to collaborate with passionate visionaries. You’ll work closely with IT, Data Science, Energy Markets, Infrastructure, and Procurement teams, supporting software development and operational data processing while exceeding client expectations Key Responsibilities • Design, build, and maintain reliable, secure, and maintainable backend services (REST APIs, integrations, internal services), • Work with SQL Server and MySQL databases, optimizing queries and improving schema design, • Develop data-informed backend features: event tracking, audit logs, analytics-ready structures, and robust reporting endpoints, • Write high-quality, well-tested code with clear documentation, • Support monthly reporting processes, including data imports, client liaison, and issue resolution, • Enhance observability (logging, metrics, tracing) and support incident response, • Drive improvements in working practices and contribute to agile planning, innovation, and sprints What We’re Looking For • Commercial experience building backend applications using transactional SQL and Python or PHP, • Strong API design skills (authentication, versioning, error handling, secure patterns), • Solid software engineering fundamentals (clean code, SOLID principles, pragmatic design patterns), • Experience with CI/CD pipelines and GIT, • Advanced SQL skills, including query optimization and data modeling (time series, regression), • Familiarity with analytics concepts, data quality checks, and reporting, • Experience with Excel and Power BI, • Security-aware engineering mindset and experience with observability and production support, • Bonus: Experience with event streaming (Kafka, MQTT), cloud platforms (Azure/AWS/GCP), infrastructure as code, regulated environments, or blockchain integration What Success Looks Like • Confidently running and delivering monthly reports to clients, • Deep understanding of the company’s domain, data flows, and service architecture, • Delivering meaningful backend improvements and strengthening quality through testing, monitoring, and documentation This client will offer a competitive annual salary, great benefits including pension, private healthcare, enhanced maternity and holidays. The client is a proud BCorp, who are committed to fostering a diverse, equitable, and inclusive workplace where all individuals feel valued, respected, and empowered to thrive. Their recruitment process is guided by the principles of fairness, transparency, and equal opportunity, ensuring that every candidate is evaluated based on their skills, experience, and potential—free from bias or discrimination. We recognize that diverse teams drive innovation, strengthen performance, and better reflect the communities we serve. Therefore, we actively seek to attract, engage, and hire individuals from a wide range of backgrounds, perspectives, and experiences. Our hiring practices are continuously reviewed and refined to reduce barriers, promote inclusive outreach, and support equitable decision-making at every stage. They are committed to: Building diverse talent pipelines by expanding outreach and partnering with organizations that represent underrepresented groups. Ensuring inclusive job descriptions and interview practices that welcome applicants from all identities and walks of life. Providing bias-awareness training for hiring teams to promote equitable evaluations and decisions. Monitoring and analysing hiring data to hold ourselves accountable and drive continuous improvement. This commitment is more than a statement—it is an active, ongoing effort to create a workplace where diversity is celebrated, equity is embedded, and inclusion is a lived experience for all. Apply today!

Senior Pricing Analyst – Data & Advanced Analytics (Personal Lines) Hybrid: 3 days office / 2 days home This Senior Pricing Analyst role is focused on improving pricing performance through data enrichment and advanced modelling across Retail Motor and Household Insurance. What you’ll be doing • Sourcing, testing and quantifying the impact of new (and existing) datasets on pricing outcomes, • Creating predictive features and building models that improve risk differentiation, • Developing reliable pipelines that feed live rating and ELR processes, • Partnering with model owners and pricing stakeholders to translate analysis into usable change, • Supporting supplier / data-provider governance, including contractual and usage considerations, • Building practical measurement frameworks to prove the value of new data inputs What we’re looking for • Strong modelling capability and hands-on experience with Python, R, SAS and/or SQL, • Experience working with third-party / external data and embedding it into analytical workflows, • Numerate background (2:1 or above in a relevant subject), • Clear communicator, comfortable bridging technical work and business decision-making, • Organised, delivery-focused, and curious about modern ML/statistical techniques Interested? Please send your CV for immediate consideration or get in touch for a confidential chat #insurancejobs #pricingjobs #dataanalytics #datasciencejobs #predictivemodelling #pythonjobs #sql #jobsinmanchester

12 month fixed term contract Manchester or Slough (Hybrid 8 days a month in office) Competitive + Bonus We’re looking for a detail‑oriented and analytically driven Customer Success Operations Analyst to join our Customer Success & Renewals Operations team for a 12 month fixed term contract. Reporting into the Senior Director of Customer Success, you’ll play a hands‑on role supporting the systems, data, and operational insights that underpin our global Customer Success organisation. This is an excellent opportunity to develop deep expertise in CS Operations within a high‑growth B2B SaaS environment. You’ll work closely with the Director of CS Operations, Customer Success leadership, and cross‑functional RevOps partners, contributing directly to retention, renewal, and expansion outcomes. What You’ll Be Doing • Supporting the administration and ongoing configuration of Gainsight, including health scores, playbooks, CTAs, and Journey Orchestrator campaigns, • Helping manage integrations between Gainsight, Salesforce, NetSuite, and support platforms, monitoring data flows and resolving data quality issues in partnership with RevTech and Data teams, • Building and maintaining dashboards, reports, and operational insights across Gainsight, Salesforce, and BI tools, tracking key metrics such as GRR, NRR, churn, customer health, and expansion performance, • Preparing QBR materials, renewal forecasts, and leadership reporting, and supporting data reconciliation across Customer Success, Sales, and Finance, • Analysing customer lifecycle and health data to identify trends, risks, and opportunities, supporting proactive churn identification, • Maintaining and supporting documentation for CS playbooks, onboarding journeys, renewal workflows, and escalation processes, • Assisting with testing and quality assurance of system and configuration changes prior to wider rollout, • Providing day‑to‑day operational support to the Customer Success and Renewals teams, responding to ad‑hoc data, reporting, and system requests, • Collaborating cross‑functionally with Sales Ops, Marketing Ops, RevOps, Data, and IT on reporting alignment and operational initiatives What We’re Looking For Essential • 2+ years’ experience in Customer Success Operations, Revenue Operations, Sales Operations, or a related analytical GTM role, • Strong experience with Salesforce, including report and dashboard building, • Proven analytical skills with confidence working with large datasets and translating insights into clear outputs, • Experience building reports in Gainsight, Salesforce, or BI tools (Tableau, Looker, Power BI), • High attention to detail, strong data ownership, and a proactive, self‑starting mindset, • Comfortable working in a fast‑paced, matrixed environment with non‑technical stakeholders Desirable • Hands‑on experience with Gainsight or similar CS platforms (e.g. ChurnZero, Totango), • Familiarity with NetSuite or ERP / finance systems, • Working knowledge of SQL or data querying tools, • Understanding of SaaS customer lifecycle, renewals, and expansion, • Exposure to operational documentation or change management Please note: We occasionally close vacancies early in the event that we receive a high volume of applications. Therefore we recommend you apply as soon as possible.

At Air Apps, we believe in thinking bigger—and moving faster. We’re a family-founded company on a mission to create the world’s first AI-powered Personal & Entrepreneurial Resource Planner (PRP), and we need your passion and ambition to help us change how people plan, work, and live. Born in Lisbon, Portugal in 2018—and now with offices in both Lisbon and San Francisco—we’ve remained self-funded while reaching over 100 million downloads worldwide. Our long-term focus drives us to challenge the status quo every day, pushing the boundaries of AI-driven solutions that truly make a difference. Here, you’ll be a creative force, shaping products that empower people across the globe. Join us on this journey to redefine resource management—and change lives along the way. As a Data Analyst at Air Apps, you will be responsible for analyzing and interpreting data to drive business insights and optimize product performance. You will create reports, dashboards, and performance metrics to help teams make informed decisions and improve user experience. This role requires a data-driven mindset, strong analytical skills, and experience with visualization tools to turn complex data into actionable insights. This is a fully onsite position, based at our office in Lisbon, where you will collaborate closely with cross-functional teams in person and contribute to a dynamic and fast-paced environment. We are open to support with relocation efforts. Analyze user behavior, product performance, and key business metrics to identify trends and opportunities. Create and maintain interactive dashboards and reports using tools like Tableau, Looker, Power BI, or Google Data Studio. Collect, clean, and structure large datasets to ensure accuracy and usability. Define and track KPIs for marketing, product, and business performance. Work with SQL, Python, or R to extract, analyze, and manipulate data. Collaborate with product managers, engineers, and marketing teams to provide data-driven insights. Conduct A/B testing and experiment analysis to improve product features and user engagement. Identify bottlenecks and opportunities in user journeys and customer funnels. Present findings in a clear and compelling way to stakeholders and leadership teams. Stay up to date with industry trends, analytics best practices, and emerging data tools. Around 3+ years of experience in data analysis, business intelligence, or a related field. Proficiency in SQL for data querying and manipulation. Experience with data visualization tools (Tableau, Looker, Power BI, Google Data Studio). Strong analytical skills with experience in Python or R for data analysis. Knowledge of A/B testing methodologies and statistical analysis. Experience with Google Analytics, Mixpanel, Amplitude, or similar user analytics tools. Strong problem-solving skills and ability to communicate insights to non-technical stakeholders. Experience working with large datasets and cloud-based data warehouses (BigQuery, Redshift, Snowflake). Familiarity with ETL processes and data pipeline optimization is a plus. Ability to work in a fast-paced, data-driven environment and manage multiple projects. Apple hardware ecosystem for work. Annual Bonus Top-tier Health and Life Insurance for peace of mind. Transportation Budget to support your commute needs. Coverflex benefits package for meal allowances, well-being, and more. Childcare support. Air Conference - an opportunity to meet the team, collaborate, and grow together. Pension Fund to support your long-term financial planning. Urban Sports Club membership to keep you active. Meals 100% free at the hub. At Air Apps, we are committed to fostering a diverse, inclusive, and equitable workplace. We enthusiastically welcome applicants from all backgrounds, experiences, and perspectives. We celebrate diversity in all its forms and believe that varied voices and experiences make us stronger. At Air Apps, we value transparency and integrity in our hiring process. Applicants must submit their own work without any AI-generated assistance. Any use of AI in application materials, assessments, or interviews will result in disqualification.

Lead Data Analyst – Research & Insights | EdTech | £50,000 – £60,000 | Remote\n4-day work week available (pro-rated)\n\nJoin a well-established, award-winning EdTech company building engaging, maths-based learning products used by millions of children worldwide.\n\nThis is a hands-on role analysing product, user, and business data to generate insights that shape decision-making. You’ll uncover how learners engage with digital platforms, identify behavioural patterns, and influence product development and user experience — while also contributing to research that improves how children learn.\n\nThe Role\n\nThis is a high-impact Lead Data Analyst role combining product analytics with a strong research mindset.\nYou will lead a small and growing insights function (with one Research Associate), ensuring that data, analysis, and interpretation are robust, scalable, and drive real impact.\n\nYou will:\n\nAnalyse how users engage with learning platforms (behaviour, progress, engagement)\nIdentify patterns, trends, and opportunities for improvement\nEvaluate the impact and effectiveness of product features and releases\nCombine quantitative data with qualitative insights (e.g. user feedback)\nSupport research initiatives exploring learning outcomes\nWork closely with leadership to define key analytical questions\nSupport the onboarding, coordination, and line management of a Research Associate\nWork with tools such as Python, Looker, or similarWhat We’re Looking For\n\n4–6 years’ experience as a Data Analyst, Product Analyst, or similar\nStrong SQL skills and experience working with large datasets\nExperience using Python or R for data analysis\nExperience supervising or managing small teams (1–2 people)\nSolid understanding of cohort analysis, segmentation, and statistical methods (e.g. regression, correlation)\nAbility to critically evaluate data, including bias and confounding factors\nStrong communication skills with both technical and non-technical stakeholders\nA natural curiosity — particularly around learning and behaviourSalary & Benefits\n\n£50,000 – £60,000 (full-time equivalent)\nOption to work a 4-day week (pro rata £40,000 – £48,000)\nHybrid working for candidates local to bedford office (2–3 days onsite)\nRemote working options for candidates UK wide (with occasional office visits)\nPension\nPrivate healthcare

Senior/Principal Pricing Analyst\n\nManchester (Hybrid - 2-3 Days per Week in Office)\nCompetitive Salary + Bonus + Excellent Benefits\nReference: J13135\n\nOur client is investing significantly in the future of its Pricing & Analytics capability, expanding its use of advanced modelling, optimisation techniques, and customer value analytics to support smarter commercial decision-making.\n\nAs a Senior/Principal Pricing Analyst you will play a key role in shaping pricing strategy across a portfolio of personal lines insurance products. This is an opportunity for an experienced pricing professional who combines deep technical expertise with commercial acumen and leadership capability.\n\nThe successful candidate will be comfortable operating at both a strategic and hands-on level, leading complex analytical projects, influencing senior stakeholders, and supporting the development of more junior team members.\n\nThe Role\n\nWorking within a highly visible Pricing & Analytics function, you will lead the development of advanced pricing and optimisation solutions designed to improve profitability, customer outcomes, retention, and long-term value.\n\nYou will leverage sophisticated modelling techniques to understand customer behaviour, price sensitivity, and demand, translating insight into actionable pricing strategies that deliver measurable commercial impact.\n\nAlongside your technical responsibilities, you will provide mentoring and guidance to analysts within the team and help drive best practice across pricing and analytics.\n\nKey Responsibilities\n\n Lead the design, development, and implementation of pricing and optimisation strategies across personal lines insurance products.\n Analyse customer behaviour, price elasticity, retention, and demand to identify opportunities for profitable growth.\n Develop and enhance predictive models using statistical and machine learning techniques.\n Support the development of customer lifetime value and retention frameworks to improve pricing decisions.\n Utilise pricing, competitor, and behavioural data to optimise customer outcomes and trading performance.\n Deliver clear recommendations and insights to senior stakeholders across Pricing, Commercial, Finance, and Data functions.\n Monitor model performance and identify opportunities for continuous improvement.\n Ensure pricing approaches remain aligned to regulatory requirements, fair value principles, and business objectives.\n Mentor and support junior analysts, helping to develop technical capability across the team.\n Contribute to the strategic direction of the Pricing function and support wider transformation initiatives.\n\nAbout You\n\nWe are looking for a senior pricing professional who can combine strong analytical capability with stakeholder management and leadership skills.\n\nYou will have:\n\n Significant experience within Personal Lines Insurance Pricing.\n A strong understanding of pricing strategy, optimisation, customer behaviour, and commercial performance drivers.\n Experience developing and deploying predictive models within a pricing environment.\n Strong knowledge of pricing methodologies, statistical techniques, and analytical best practice.\n Experience working with large and complex datasets to solve commercial challenges.\n The ability to communicate technical findings to both technical and non-technical audiences.\n Experience mentoring, coaching, or managing analysts, with a genuine interest in developing others.\n Strong stakeholder management skills and experience influencing decision-making at senior levels.\n A proactive and commercially focused mindset with the ability to balance technical excellence with business outcomes.\n\nTechnical Skills\n\nExperience with several of the following:\n\n Python\n SQL\n SAS\n R\n Snowflake\n Databricks\n Power BI\n Tableau\n Machine Learning and Predictive Modelling Techniques\n GLMs, GBMs, Demand and Behavioural Modelling\n\nWhat's on Offer?\n\n Opportunity to influence pricing strategy at a senior level.\n Exposure to high-profile, commercially impactful projects.\n Significant investment in analytics, technology, and pricing capabilities.\n A collaborative environment with strong opportunities for career progression.\n Hybrid working and competitive reward package.\n\nPlease note: Applicants must have the right to work in the UK. Visa sponsorship is not available for this role.\n\n**Apply now to be considered for this exciting opportunity to help shape the future of pricing and analytics within a market-leading organisation

Are you dynamic with your forecasting and planning?\n\nDo you understand the FMCG sector?\n\nDo you thrive in a busy fast paced environment?\n\nDo you want to be part of a key business team?\n\nDo you want to be in a company that develops and promotes their people?\n\nIf so this company and this role is for YOU!\n\nPLEASE NOTE DEMAND PLANNING EXPERIENCE IS ESSENTIAL FOR THIS ROLE\n\nMu client is a well-established and is a market leader in in the beauty sector both wholesale and retail. Their Supply Chain team need a Junior Demand Planner and Reporting Analyst who has a natural flair for detail orientated work.\n\nYou will be responsible for developing accurate demand forecasts, optimizing inventory levels, and supporting strategic decision-making to ensure product availability while minimizing excess inventory costs. This role requires strong analytical skills, a keen understanding of forecasting methodologies, and the ability to collaborate effectively across departments.\n\nYour role will cover:\n\n1. Demand Forecasting: Utilize historical sales data, market trends, and input from sales and marketing teams to develop demand forecasts for products across different segments and regions.\n\n2. Inventory Optimization: Collaborate with Supply Chain and Procurement teams to optimize inventory levels, ensuring the right balance between product availability and inventory carrying costs. Manage e-commerce warehouse stock by regularly reviewing holding levels in line with current sales trends and adjusting inventory to support peak and off-peak trading periods.\n\n3. Forecast Accuracy: Skilled in optimizing forecasting models and improving demand planning processes, data accuracy, and efficiency through automation, optimization, and technology solutions while monitoring performance metrics for continuous enhancement.\n\n4. Sales and Market Analysis: Analyze sales data, customer demand patterns, and market trends to identify factors influencing demand, providing insights to support decision-making and business planning.\n\n5. Collaboration: Partner closely with cross-functional teams, including Sales, Marketing, Finance, and Operations, to align demand forecasts with overall business objectives. Lead and facilitate monthly Demand Clinics with Sales Account Managers to ensure clear communication of forecast assumptions, insights, and key drivers\n\n6. New Product Development (NPD): Support the demand planning process for new product launches, providing input on initial demand forecasts, monitoring performance, and adjusting forecasts as necessary.\n\n7. Promotional Planning: Incorporate promotional activities, seasonality, and other market events into demand forecasts, collaborating with marketing and sales teams to ensure accurate planning and execution.\n\n8. Risk Management: Anticipate and mitigate risks to demand forecasts, such as supply chain disruptions, market volatility, and changing customer preferences, developing contingency plans to minimize impact on inventory and sales performance.\n\n9. Reporting: Generate regular reports summarizing forecast performance, highlighting trends, risks, and opportunities, and providing actionable insights to stakeholders.\n\nWhat will YOU bring to the role?\n\n1. Bachelor’s degree in Business Administration, Supply Chain Management, Statistics, Economics, or a related field. Advanced degree or professional certification (e.g., APICS, IBF) is advantageous.\n\n2. Proven experience in demand planning, forecasting, or a related analytical role, preferably in a manufacturing, retail, or consumer goods environment.\n\n3. Proficient in Excel, SQL, and data visualization tools (Power BI) with strong analytical skills. Experienced in implementing and working with demand planning systems.\n\n4. Excellent communication and interpersonal skills, with the ability to collaborate effectively across departments and levels of the organization.\n\n5.Detail-oriented with strong organizational skills and the ability to manage multiple priorities in a fast-paced environment.\n\n6.Strategic thinker with the ability to translate data insights into actionable recommendations to drive business results.\n\n7.Adaptable and resilient, able to thrive in a dynamic and changing environment.\n\nDo you have experience of Microsoft Dynamics – Business Central – if so that would be a real plus!\n\nThe YOU we are looking for will also:\n\nPossess a keen analytical mindset\n\nDemonstrates strong communication skills and the ability to engage effectively at all levels of the organization.\n\nDemonstrates outstanding interpersonal abilities\n\nDisplay mastery in communication\n\nShows adept organizational skills and self-reliance\n\nApply a systematic and logical approach to problem-solving\n\nThrive in collaborative environments\n\nMaintain a consistently professional demeanour\n\nExhibit exceptional problem-solving acumen\n\nManage workload effectively with strong organizational prowess\n\nShow enthusiasm for acquiring new skills and knowledge\n\nWork seamlessly within team dynamics\n\nUphold a strong work ethic\n\nCapable of effectively engaging with various stakeholders, including department managers, directors, and the CEO.\n\nIn return YOU get\n\nGood salary\n\nGood promotion prospects\n\nFlexitime\n\nDuvet Days\n\nFree onsite gym\n\nDiscounted products\n\nA culture of excellence\n\nSo if you are the Demand Planner I am looking for please send me your CV. Thanks Lindsay

Job Title: Data and General Administrator\n\nLocation: Salford Quays, Greater Manchester / Hybrid Working (In office approximately 3 days per week)\n\nSalary: £28,392 - £39,043 Per annum, negotiable depending on experience\n\nJob type: Full time - Permanent\n\nThe National Haemophilia Database (NHD) is a registry of people in the UK with all types of bleeding disorders. The database is held within the NHS and managed by the UK Haemophilia Centre Doctors' Organisation (UKHCDO). The NHD is at a transformation stage in its development and requires insight professionals to harness the wealth of data that is available to it.\n\nThere is no sponsorship on offer for this role and therefore candidates must have the legal right to live and work in the UK to be considered for this role.\n\nThe Role:\n\nThe NHD has the richest data store for bleeding disorders in the world and are about to invest heavily in the infrastructure required to enhance the processing, accessibility and surfacing of that data.\n\nWe are looking for an individual to play a key role in the administration of general duties and data across its full lifecycle, from the collection of data through to the point of data exploitation that can make a real difference to the lives of people with bleeding disorders.\n\nPlease note that the role is based in Salford Quays and requires regular office attendance (usually approximately 3 days per week) , therefore candidates must be able to reliably commute to this location to be considered.\n\nMain Responsibilities:\n\nYou would be working with the UKs best clinical, scientific, and statistical capabilities in this sector, being a vital part of a team.\nCreation and maintenance of any necessary MS Excel spreadsheets and MS Access database, providing support to the Data Administration Manager.\nUndertake analytical skills to support analysis such as producing tables, graphs etc. and running queries.\nAssisting with data quality, checking, and cleansing.\nAssisting in the collection, collation, and management of data, ensuring that it is accurate and up-to-date.\nClearly defining stakeholder requirements for administration purposes to support data analysis.\nThere will also be several general administrative responsibilities required by this role alongside the data analysis side of things.The Ideal Candidate:\n\nA degree in an analytical, technical, or mathematical discipline, backed up by additional and continual professional development.\nExcellent administrative skills and a good eye for detail. (2 + years recent administrative experience preferred but not essential)\nProven IT, programming and mathematical skills, and an appreciation of how they are applied in the work environment.\nAnalytical and problem-solving skills, including the need for careful analysis of data to produce clear findings.\nProficiency in Microsoft Office packages, especially in Word, Excel and Access.\nIntermediate proficiency in SQL, Python, R or other modern coding.\nExperience in the automation of data workflows. Ideally, using a drag-and-drop visual analytics software (such as Alteryx, Knime or other industry software), to produce datasets and reports.\nExperience in supporting organisations fulfil its regulatory requirements in such areas as data quality and data security.Benefits\n\nHighly competitive contributory pension scheme with company contributions\n27 days holiday rising to 33 days (+ 8 general and public holidays)\nSupport for qualification development opportunities\nFlexible / hybrid working options to maintain work life balance\nPeninsula Employee Assistance programme\nCar Salary Sacrifice Scheme\nModern office facilities at Salford Quays\nA relaxed and friendly office environment\nParking on site\nMain tram and bus routes stop outside office and connect to main railway hub stations.And of course, you will be involved in high profile work providing professional development and ability to significantly impact on health and care services.\n\nPlease click on the APPLY button to send your CV and Cover Letter for this role.\n\nCandidates with experience or relevant job titles of; Data Analyst, Data Administrator, Commercial Analyst, Analyst, Information Analyst, Client Data Analyst, Apprentice Data Analyst, Data Administrator, Business Analyst, Business Analyst, SQL Analyst, Business Information Analyst, Data Handler, will all be considered

About Quantiphi: Quantiphi is an award-winning, AI-First global digital engineering company that helps the world’s leading Fortune 1000 organizations transform bold ideas into measurable business impact. We go beyond building innovative AI technologies—we solve the problems that matter most to our clients. Since our founding in 2013, Quantiphi has built a proven track record of turning complex challenges into meaningful outcomes across industries. Headquartered in Boston, with more than 4,000 professionals worldwide, we partner with global enterprises to deliver large-scale digital, cloud, and AI-driven transformation. #SolvingWhatMatters We are an Elite and Premier partner to Google Cloud, AWS, NVIDIA, Snowflake, and other leading technology platforms, and our work has been recognized across the industry, including: • 21 Google Cloud Partner of the Year awards in the past 10 years, • 3 AWS AI/ML Partner of the Year awards, • 3 NVIDIA Partner of the Year awards, • 3 Snowflake Partner of the Year awards, • Rated Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst firms Quantiphi delivers First-in-class AI solutions across Life Sciences, Healthcare, Banking, Financial Services, CPG, Manufacturing, Energy, High-Tech, Telecommunications, etc., powered by cutting-edge Generative AI and Agentic AI accelerators. We are also proud to be certified as a Great Place to Work—reflecting our commitment to our people and our culture. For more details, visit: or Role: Senior Cloud Migration Engineer Experience Level: 7+ years Employment type: Full Time Location: Remote (UK) What you will do: As a Senior Cloud Migration Engineer at Quantiphi, you will be instrumental in our Platform Engineering team, leading the delivery of advanced solutions in Application Development, Platform Engineering, Data Engineering, Analytics, and Machine Learning for our clients. This role requires experience in workload migration from on-premise datacenter environments to AWS, enabling clients to leverage the full potential of cloud capabilities. Basic Qualifications (BQs): Cloud Migration Expertise: • Understanding of different Migration approaches (Rs) with recent experience., • Experience with on-prem VMware/other platform based Virtual Machine Lift and Shift (REHOST) migration to AWS EC2 instance based architectures., • Previous work experience with tools like Cloud Endure, Double-Take, AWS Migration Hub, AWS Application Migration Service (MGN), AWS Server Migration Service (SMS), and AWS Database Migration Service (DMS). Good to have understanding of Database servers., • Expertise in AWS services, including EC2, S3, auto-scaling, Landing Zone, and Control Tower., • Proficiency in using AWS Migration Evaluator and Portfolio Assessment tools to analyze migration strategies., • Well-versed in service-oriented architecture and cloud-based web services architecture, design patterns, and frameworks., • Good understanding of Windows or Linux OS. Experience with troubleshooting Linux/Windows OS issues while migrating. Good to have handled Database server migrations also., • Strong knowledge of cloud-related services such as compute, storage, network, and messaging (e.g., SNS, SQS). Networking Skills: • Proficiency in setting up and managing hybrid cloud networks, including VPN and AWS Direct Connect., • Experience with configuring Application Load Balancers (ALB) for effective traffic management. Automation and Deployment: • Proficient in scripting languages such as Python and Bash for automating migration tasks and processes., • Familiarity with Infrastructure as Code (IaC) tools, including AWS CloudFormation and Terraform., • Strong understanding of IaC practices using tools like Terraform, CDK, and CloudFormation Templates., • Experience in automating development and testing processes through CI/CD pipelines using tools like Git, Jenkins, SonarQube, Artifactory, and Docker containers. Security and Compliance: • Strong understanding of AWS security best practices, including setting up IAM roles and policies for secure access., • Knowledge of compliance requirements relevant to data handling and migration processes. Configuration Management / Scripting and Programming: • Hands-on experience with scripting and programming languages such as Bash, Python, Core Java, and Scala., • Previous work experience on Configuration management and using tools like Ansible, Chef, Puppet, AWS SSM, etc. Other Qualifications (OQs): • Familiarity on-prem VMware ecosystem such as vSphere, vCenter, ESX, NSX., • Familiarity with vMotion, VM Export/Import and integrating with AWS., • Skills in monitoring cloud infrastructure and application performance using tools like Amazon CloudWatch., • Experience in optimizing database queries and application performance following migration., • Relevant certifications (e.g., AWS Certified Solutions Architect, AWS Certified DevOps Engineer)., • Experience with relational SQL, NoSQL databases (e.g., PostgreSQL, MongoDB, Redis)., • Ability to build and manage container hosting platforms using Docker, Kubernetes, AWS EKS., • Familiarity with systems management and automation tools like Puppet, Chef, and Ansible., • Experience working in an Agile and DevOps environment. What is in it for you: • Join one of the world’s fastest-growing AI-first digital engineering companies and make a real impact at scale., • Lead and collaborate with a high-energy team of talented, driven individuals solving complex, meaningful challenges., • Work with Fortune 500 companies and disruptive innovators in a research-driven environment with 60+ patents., • Stay ahead of the curve by gaining hands-on experience with cutting-edge AI, ML, data, and cloud technologies while continuously upskilling.

About Quantiphi: Quantiphi is an award-winning, AI-First global digital engineering company that helps the world’s leading Fortune 1000 organizations transform bold ideas into measurable business impact. We go beyond building innovative AI technologies—we solve the problems that matter most to our clients. Since our founding in 2013, Quantiphi has built a proven track record of turning complex challenges into meaningful outcomes across industries. Headquartered in Boston, with more than 4,000 professionals worldwide, we partner with global enterprises to deliver large-scale digital, cloud, and AI-driven transformation. #SolvingWhatMatters We are an Elite and Premier partner to Google Cloud, AWS, NVIDIA, Snowflake, and other leading technology platforms, and our work has been recognized across the industry, including: • 21 Google Cloud Partner of the Year awards in the past 10 years, • 3 AWS AI/ML Partner of the Year awards, • 3 NVIDIA Partner of the Year awards, • 3 Snowflake Partner of the Year awards, • Rated Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst firms Quantiphi delivers First-in-class AI solutions across Life Sciences, Healthcare, Banking, Financial Services, CPG, Manufacturing, Energy, High-Tech, Telecommunications, etc., powered by cutting-edge Generative AI and Agentic AI accelerators. We are also proud to be certified as a Great Place to Work—reflecting our commitment to our people and our culture. For more details, visit: or Role: Cloud Data Architect (AWS) Experience Level: 8+ years Employment type: Full Time Location: Remote (UK) What you will do: • We are seeking a highly skilled AWS Data Migration & Data Engineering Consultant to lead end-to-end data migration initiatives across on-prem, cloud, and multi-cloud environments into AWS., • This role focuses on defining and executing data migration strategies, including assessment, wave planning, migration execution, and post-migration stabilization, while ensuring data integrity, minimal downtime, and alignment with business SLAs., • The ideal candidate brings strong experience in cross-platform database migrations (Oracle, SQL Server, MySQL, or cloud-native systems) combined with deep expertise in AWS data engineering services and modern data pipeline development. Key Responsibilities: • Lead end to end database migrations to AWS from diverse sources, including on-premises systems (e.g., Oracle, SQL Server, MySQL) and other cloud platforms (e.g., GCP, Azure)., • Lead end-to-end data migration strategy and execution, including assessment, dependency mapping, and wave planning., • Design and implement migration frameworks using AWS DMS, SCT, Glue, and Redshift., • Define and execute data validation, reconciliation, and cutover strategies ensuring zero/low data loss., • Enable CDC-based replication and minimal downtime migrations across heterogeneous systems., • Design and optimize ETL/data pipelines using AWS Glue, PySpark, or EMR., • Architect and implement scalable, secure, and highly available data platforms on AWS., • Drive schema conversion and modernization strategies (heterogeneous migrations where applicable)., • Optimize performance of source and target systems pre- and post-migration., • Manage and govern S3-based data lakes and metadata using Glue Data Catalog., • Collaborate with application, infrastructure, and analytics teams for seamless migration and stabilization., • Implement monitoring, rollback, and failure recovery mechanisms., • Ensure adherence to security, governance, and compliance standards. Basic Qualifications (BQs): • 8+ years of experience in database migration and data engineering., • Proven experience in cross-platform data migrations (on-prem to cloud or cloud to cloud)., • Experience designing and implementing data validation and reconciliation frameworks., • Strong experience in ETL/data pipeline development (Glue, PySpark, EMR, or equivalent)., • Deep proficiency in SQL and data modeling concepts., • Experience working with S3-based data lakes and Glue Data Catalog., • Strong understanding of CDC, transaction consistency, and migration cutover strategies., • Hands-on experience with performance tuning, schema design, and query optimization., • Proficiency in Python/PySpark and scripting (Shell/Python)., • Experience with Oracle, SQL Server, MySQL, PostgreSQL, or cloud-native databases., • Strong hands-on expertise with:, • AWS DMS (Database Migration Service)., • AWS SCT (Schema Conversion Tool)., • AWS Glue (ETL & data integration)., • Amazon Redshift (data warehousing). Other Qualifications (OQs): • Exposure to real-time replication tools (e.g., GoldenGate or equivalent)., • Database Administration (DBA) expertise, including backup & recovery strategies, HA/DR design, database patching and upgrades, lifecycle management, capacity planning, performance monitoring, and security hardening., • Experience with Lake Formation and data governance frameworks., • Familiarity with Data Mesh and cross-account data sharing architectures., • Experience with CI/CD for data pipelines (CodePipeline, Jenkins, etc.)., • Knowledge of Infrastructure as Code (Terraform / CloudFormation)., • AWS Certifications (Solutions Architect / Data Engineer)., • Experience in mentoring teams and leading large-scale migration programs. What is in it for you: • Join one of the world’s fastest-growing AI-first digital engineering companies and make a real impact at scale., • Lead and collaborate with a high-energy team of talented, driven individuals solving complex, meaningful challenges., • Work with Fortune 500 companies and disruptive innovators in a research-driven environment with 60+ patents., • Stay ahead of the curve by gaining hands-on experience with cutting-edge AI, ML, data, and cloud technologies while continuously upskilling.

Data Analyst Placement Programme no experience needed From £30,000 to £65,000 per annum Trainee Data Analyst £30,000£65,000 Job Programme This is a self-funded programme that leads to employment, fees apply. Job GuaranteeComplete the programme and get a job, or get your course fees back. Location:UK Wide (Remote Opportunities Available) Looking to start a career in Data Analysis? We are offering a structured pathway into Data Analysis, designed to help you enter the industry with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official CompTIA Data+ Certification, • Official BCS accredited Business Analysis Foundation Certification, • Training in Excel, SQL, Python, Power BI, and Tableau, • Professional CV and LinkedIn support, • Interview preparation, • Dedicated recruitment support until placed, • Personalised 1-1 tutor support Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the c...

This job is with Booking.com, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About Us: At Booking.com, data drives our decisions. Technology is at our core. And innovation is everywhere. But our company is more than datasets, lines of code or A/B tests. We're the thrill of the first night in a new place. The excitement of the next morning. The friends you encounter. The journeys you take. The sights you see. And the memories you make. Through our products, partners and people, we make it easier for everyone to experience the world. The Trips Data Governance team at Booking.com manages data for all aspects of trips, excluding stays, enabling teams to understand and improve business performance and customer experience. They are currently seeking a curious and enthusiastic Data Manager to join their impactful Data Governance team to support modernisation & analytics programs. The team is passionate about helping people travel, embracing challenges and change. Role Overview: In this role, as a Data Manager II you are an individual contributor responsible for establishing, overseeing, and ensuring adherence to policies, practices, and controls for data management across the company data estate, with a specific focus on data governance and data quality. You ensure regulatory compliance, ethical data handling and the responsible adoption of AI models and tooling within data initiatives, while designing and operating data quality frameworks that make our data accurate, trusted, and fit for purpose. You drive and support change management for data initiatives, managing projects and stakeholders to successful outcomes and acting as a subject-matter expert for data governance and quality across your scope. This is a hands-on role where you will work closely with Product Managers, Data Engineers, Data Scientists, and Insights Analysts to convey the why, how, and what of Data Management initiatives, applying robust classification, metadata management, and stewardship practices to ensure data quality, regulatory compliance, and shared understanding of key data assets. The ideal candidate is passionate about data, eager to learn and able to engage with diverse stakeholders. You will report to a Senior Data Manager and collaborate with other Data Managers on strategic objectives for data quality, governance, metadata management and regulatory compliance at Booking.com. Key Job Responsibilities and Duties: Implement Data & AI Governance standards, and playbooks within your scope, aligned with enterprise frameworks and regulatory/audit requirements. Manage data risks & controls along key data flows to meet regulatory, compliance, risk, privacy and security by design expectations. Design and operate Data Quality dimensions, thresholds/SLOs, rules and scoring for priority assets and metrics. Monitor and report on data quality, using lineage and metadata for diagnosis, root cause analysis, and pragmatic remediation. Embed DQ checks and observability into batch and streaming pipelines, shifting quality left in design and development. Apply classification, taxonomies, and metadata management to improve discoverability, protection, and consistent usage of data. Define and maintain data lifecycle requirements (creation to deletion) for key assets and keep core documentation (data dictionaries, glossaries, lineage, rule catalogues) accurate and accessible. Manage stakeholders across producer and consumer teams, and clearly communicate the business impact of poor data quality and the value of remediation. Use SQL and scripting (e.g. Python, R) to profile data, implement/validate DQ checks, and support investigations and prototypes. Build and maintain DQ / governance dashboards in tools like Tableau or Power BI to provide clear, actionable views of quality and maturity. Use APIs and data management tooling (catalogue, lineage, DQ platforms) to register metadata, automate controls, and integrate governance into workflows. Coach and support data managers, stewards, and analysts on governance and DQ topics, and contribute to the wider Data Management community with patterns, documentation, and best practices. Role Qualifications and Requirements (Essential): 3-5 years in data management, data governance, data quality, or related roles (e.g. data analyst/engineer with strong DQ/governance focus). Strong SQL experience writing & managing complex logic with at least one scripting language (e.g. Python, R). Proficient profiling data or performing exploratory data analysis & data visualisation tools (e.g. Tableau, Power BI). Experience working on Data Governance, lifecycle management processes with working knowledge of data catalog, lineage, and DQ - using tools like Collibra, Monte Carlo (or equivalent). Handson experience implementing DQ rules, dimensions, thresholds/SLOs, and monitoring/reporting. Experience with master & metadata management, document/content lifecycle and classification, and data risk mitigation. Ability to use lineage and metadata for tracing issues and driving root cause analysis. Experience in ethical data handling, responsible AI, and applying compliance requirements (e.g. GDPR and related regulations) to data and DQ initiatives. Proven track record leading DQ or governance implementations, including planning, stakeholder management, and progress/risk communications. Booking.com's Total Rewards Philosophy is not only about compensation but also about benefits. We offer a competitive _, as well unique-to-Booking.com benefits which include: Annual paid time off and generous paid leave scheme including: parent, grandparent, bereavement, and care leave Hybrid working including flexible working arrangements, and up to 20 days per year working from abroad (home country) Industry leading product discounts - up to 1400 per year - for yourself, including automatic Genius Level 3 status and Booking.com wallet credit Inclusion at Booking.com: Inclusion has been a core part of our company culture since day one. This _ starts with our very own employees, who represent over 140 nationalities and a wide range of ethnic and social backgrounds, genders and sexual orientations. Take it from our Chief People Officer, Paulo Pisano: "At Booking.com, the diversity of our people doesn't just build an outstanding workplace, it also creates a better and more inclusive travel experience for everyone. Inclusion is at the heart of everything we do. It's a place where you can make your mark and have a real impact in travel and tech." We ensure that colleagues with disabilities are provided the adjustments and tools they need to participate in the job application and interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Application Process: This section should provide: Let's go places together: _. This role does not come with relocation assistance. Booking.com is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We strive to move well beyond traditional equal opportunity and work to create an environment that allows everyone to thrive.

Data Analyst Course Programme – Job Guarantee Included Complete online training designed to take you from zero experience to your first data analyst role. Study part-time, build fundamental skills, and get dedicated job placement support until you're hired. Flexible financing options available, with payment plans starting from as low as £142 per month. The Programme Complete this 10-week online training with just 10-15 hours per week of study time. You'll learn industry-standard tools, including Excel, SQL, Python, and Power BI, while building a professional portfolio with workplace projects. The programme includes earning BCS and CompTIA certifications recognised by UK employers, expert tutor support throughout your studies, and dedicated job placement support with CV help, interview preparation, and direct employer introductions. The Outcome 93% of graduates secure data analyst roles within 3 months. Starting salaries: £28,000 – £38,000 Who This Is For The programme is completely beginner friendly, so no experience needed. Career changers are welcome, and you can study at your own pace. *This programme is available to UK-based learners only. Ready to start earning in data? Limited spaces available. Apply now for the next available cohort.

Data Analyst Course Programme – Job Guarantee Included Complete online training designed to take you from zero experience to your first data analyst role. Study part-time, build fundamental skills, and get dedicated job placement support until you're hired. Flexible financing options available, with payment plans starting from as low as £142 per month. The Programme Complete this 10-week online training with just 10-15 hours per week of study time. You'll learn industry-standard tools, including Excel, SQL, Python, and Power BI, while building a professional portfolio with workplace projects. The programme includes earning BCS and CompTIA certifications recognised by UK employers, expert tutor support throughout your studies, and dedicated job placement support with CV help, interview preparation, and direct employer introductions. The Outcome 93% of graduates secure data analyst roles within 3 months. Starting salaries: £28,000 – £38,000 Who This Is For The programme is completely beginner friendly, so no experience needed. Career changers are welcome, and you can study at your own pace. *This programme is available to UK-based learners only. Ready to start earning in data? Limited spaces available. Apply now for the next available cohort.

This job is with Fitch Group, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Fitch Learning is a leader in financial services training. With unrivaled breadth and depth, the company delivers learning solutions for apprentices, graduates, and those with 10+ years’ experience in Financial Services. Our offerings include expert faculty, e-learning, coaching, and blended assessments, improving individual and collective business performance. Working at Fitch Learning provides the opportunity to be part of a global leader in financial education, committed to delivering cutting-edge training solutions. You'll collaborate with a team of experts dedicated to empowering professionals with the skills and knowledge needed to excel in the finance industry. By joining us, you'll be at the forefront of innovation in professional education, contributing to impactful learning experiences that drive career advancement and industry success. Fitch Ratings is currently seeking a Business Analyst based out of our Manchester, UK office. About the Team: You’ll join Technology & Data Delivery Enablement, a squad-facing function that supports Agile delivery by translating business needs into clear, testable requirements and enabling predictable, high-quality outcomes. The team partners closely with Delivery Owners, Technical Owners, Product Owners, and cross-functional squad members, with strong visibility across technology initiatives. How You’ll Make an Impact: • Engage with business stakeholders and end users to elicit, validate, and refine requirements that drive measurable outcomes., • Translate business needs into clear, testable, delivery-ready requirements aligned to business strategy and value., • Partner with Delivery Owners, Product Owners, and squads on Agile ceremonies (story creation, backlog refinement, sprint planning) to support continuous flow., • Identify and surface delivery risks early (e.g., requirement clarity, feasibility, dependencies) and drive mitigations with clear ownership., • Maintain high-quality documentation and requirement artifacts in tools such as Jira and Confluence; support testing activities (e.g., smoke testing) to confirm requirements are met. You May be a Good Fit if: • You have a bachelor’s degree in business, Technology, or a related field (or equivalent experience)., • You bring 3–5 years of experience in business analysis, requirements management, or a related role, ideally in an Agile environment., • You have strong analytical and communication skills, with the ability to work effectively across business and technical teams., • You’re eager to learn and apply modern practices, including AI-enabled tools for requirements gathering and documentation. What Would Make You Stand Out: • Business Analysis or Agile certification (e.g., CBAP, CCBA, PMI-ACP)., • Hands-on experience with requirements/documentation tools (e.g., Jira, Confluence)., • Exposure to data analysis and/or SQL, including data profiling or documenting data flows., • Solid understanding of the software development lifecycle and non-functional requirements. Why Choose Fitch: • Hybrid Work Environment: 3 days per week in the office; 2 days remote, • A Culture of Learning & Mobility: Dedicated training, leadership development and mentorship programs, • Investing in Your Future: Retirement planning and tuition reimbursement programs, • Promoting Health & Wellbeing: Comprehensive healthcare offerings supporting overall wellbeing, • Supportive Parenting Policies: Generous global parental leave and family-friendly policies, • Inclusive Work Environment: Employee Resource Groups and a culture where all voices are valued, • Dedication to Giving Back: Paid volunteer days, matched funding for donations, and community opportunities At Fitch Group, the combined power of our global perspectives is what differentiates us. Our global network of colleagues comes together to accomplish things greater than they ever could alone. Every team member is essential to our business and each perspective is critical to our success. We embrace a diverse culture that encourages a free exchange of ideas, guaranteeing your voice will be heard and your work will have an impact, regardless of seniority. For more information, please visit our websites: www.fitchratings.com | www.fitchsolutions.com | _ #LI-MH1 #LI-HYBRID

DGI is seeking a Data Analyst to join their Data Team in the IT Department in Manchester. The ideal candidate has strong knowledge in SQL and BI tools, providing support to stakeholders and ensuring data quality.

Candidates with experience or relevant job titles of; Data Analyst, Data Administrator, Commercial Analyst, Analyst, Information Analyst, Client Data Analyst, Apprentice Data Analyst, Data Administrator, Business Analyst, Business Analyst, SQL Analyst, Business Information Analyst, Data Handler, wil

Key qualifications include strong SQL and Power BI skills, along with experience in analyzing large datasets.