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Senior Data Analyst (Service Delivery & AI Analytics) #3300 • Location: Hybrid (split between site-based and home-working), • Reports to: Global Head of Service Delivery, IT & Repairs, • Contract Type: Permanent / Full-time, • Contracted Hours/Days: 37.5 hours / 5 days per week We are hiring for a Senior Data Analyst to enable data-driven decision-making across this global organisation. You will be responsible for extracting, transforming, analysing and visualising data from multiple enterprise systems including Azure, Salesforce and Halo ITSM to deliver high-quality insights for senior executives, sales teams, service delivery, engineering, product teams, and customers. The role will design and maintain advanced Power BI dashboards, build robust data models, perform historical trend analysis, and develop forecasting and pattern-detection models. In addition, this role will contribute to the evolution of AI-enabled analytics, using Python and modern AI tools (e.g. Copilot and ChatGPT-style agents) to enhance insight generation, automate analysis, and enable self-service reporting. This role is critical to the ability to scale service operations globally while maintaining service excellence, customer trust, and commercial performance. By combining advanced analytics, automation, and emerging AI capabilities, the Senior Data Analyst will help transform data into a strategic asset across the organisation. Key Responsibilities for the Senior Data Analyst: • Design, build, and maintain reliable data pipelines to extract data., • Develop automated ETL processes to ensure timely, accurate, and scalable data refresh cycles., • Work with development teams and system owners to integrate data via APIs and improve data availability., • Build and maintain robust data models., • Analyse service delivery performance., • Perform historical trend analysis and develop forecasting models., • Identify patterns, anomalies, and systemic issues that impact service quality or cost-to-serve., • Design and deliver high-quality Power BI dashboards., • Standardise KPI definitions and reporting structures across regions., • Automate recurring reports and reduce reliance on manual, spreadsheet-based reporting., • Ensure dashboards tell a clear, actionable story rather than simply presenting data., • Use Python to automate data processing, analysis, and reporting workflows., • Contribute to the design and development of AI-assisted analytics solutions, including:, • Copilot-style or ChatGPT-based agents to support insight generation, reporting, or operational queries, • Partner with stakeholders to identify high-value use cases where AI can enhance decision-making., • Provide analytical insight to support continuous improvement initiatives, • Data Governance & Quality Assurance, • Stakeholder Collaboration Essential Qualifications, Skills and Experience for the Senior Data Analyst • 5–7+ years’ experience as a Senior Data Analyst, BI Analyst, or Analytics Specialist, ideally within SaaS, ITSM, or service-led organisations., • Strong Python experience (essential), including use for data analysis, automation, modelling, and system integration., • Advanced SQL skills and experience building and maintaining ETL pipelines., • Advanced Power BI expertise, including DAX, dataflows, model optimisation, and performance tuning., • Proven experience extracting and working with data from Azure, Salesforce, and ITSM platforms., • Strong understanding of service delivery and operational metrics (SLAs, KPIs, MTTR, backlog management, incident trends, repair logistics)., • Demonstrated experience with forecasting, time-series analysis, and pattern recognition., • Ability to translate complex data into executive-level insights and compelling narratives., • Strong communication and stakeholder management skills. Desirable • Experience developing AI-assisted analytics solutions, including building Copilot, ChatGPT, or similar AI agents to support reporting, insight generation, or operational decision-making, • Leveraging large language models (LLMs) to enhance data exploration or automation, • Experience integrating Python analytics with Azure AI services (e.g. Azure OpenAI)., • Familiarity with modern data platforms (Azure Data Lake, Synapse, Snowflake, Lakehouse)., • Experience with predictive or prescriptive analytics beyond basic forecasting., • Exposure to automation or orchestration tools for analytics pipelines.

Manpower are currently seeking an interim Data & Analytics Analyst to work with our global FMCG client The Magnum Ice Cream Company, renowned for brands such as Magnum, Ben & Jerry's, Cornetto and Wall's, and become an integral part of their fast-paced FMCG environment. The position is based in Kingston upon Thames, Surrey. This is a full-time temporary role to run for 6 months, requiring 36.25 hours per week, Monday to Friday. Compensation for this role is competitive. The role currently offers a mix of remote and onsite working, subject to adjustment based on business requirements. Data & Analytics Analyst – Wholesaler Sales The Magnum Ice Cream Company is on a mission to create the ultimate snacking company. A place where growth, innovation, founder and ownership mentality, and performance are cultivated and rewarded. And where we craft extraordinary ice cream experiences - transforming ordinary moments into lasting memories. Because we know, life tastes better with ice cream. ABOUT THE MAGNUM ICE CREAM COMPANY The Magnum Ice Cream Company is all about growth. Growing our business. Growing our customers’ businesses. Growing our people’s careers. Growth begins with empowerment. So, we free our people to be innovative, responsible entrepreneurs, driven and equipped to give our consumers more amazing products and unforgettable moments – and having fun doing it. With 19,000 expert ice cream colleagues and iconic brands like Wall’s, Cornetto and Ben & Jerry’s, loved in 76 countries, we are the world’s largest Ice Cream company leading the industry. Position Overview We’re looking for a Data & Analytics Analyst to unlock the value of wholesaler and customer sales data across Magnum’s UK business. You will play a critical role in connecting multiple wholesaler data sources, working with Databricks and pipelines, and transforming raw sales data into clear, actionable insights. This includes enabling visibility on sell-in, sell-out, distribution, range, and performance across wholesale partners. You will work closely with data engineers to ensure data is ingested, structured, and ready for analysis, while acting as a Power BI super user to deliver dashboards that drive commercial decisions across sales, account management, and operations. Key Responsibilities Connect & Integrate Wholesaler Data • Connect and consolidate multiple wholesaler sales data sources (including but not limited to EPOS, shipment/sell-in, CRM, partner data), • Work with Databricks to query, combine, and transform large-scale sales datasets, • Connect to and leverage data pipelines to access reliable, up-to-date wholesaler data, • Partner with data engineers to onboard new wholesale partners and data feeds, • Ensure consistent, accurate mapping of SKU, customer, and channel data Data Ingestion & Pipeline Collaboration • Support and oversee data ingestion processes for wholesaler and partner data, • Work closely with data engineers to bring in new data sources and improve data availability, • Validate and sense-check incoming data to ensure accuracy and completeness, • Help ensure data pipelines deliver timely, structured, analysis-ready datasets Data Visualisation & Commercial Insights • Act as a Power BI super user, building dashboards focused on wholesale performance, • Deliver reporting on key commercial metrics (e.g. sales trends, distribution, range compliance, customer performance), • Create intuitive data visualisations for sales and account teams, • Translate complex sales data into clear insights and actions Make Data Usable for the Business • Develop clean, structured datasets to support sales, CRM, and commercial reporting, • Contribute to a single source of truth for wholesaler and customer data, • Ensure consistency in definitions (e.g. sales metrics, customer views, SKUs), • Enable self-serve analytics for commercial teams Set Us Up for Success • Support scalable solutions that accommodate new wholesalers and growing data complexity, • Contribute to data documentation, definitions, and data dictionaries, • Ensure high standards of data quality, governance, and trust, • Identify opportunities to improve data coverage, accuracy, and reporting Business Partnering & Opportunity Identification • Work closely with sales, account managers, and CRM teams to answer key business questions, • Identify trends and opportunities within wholesaler performance and distribution, • Proactively highlight risks and opportunities (e.g. gaps in distribution, declining accounts, growth pockets), • Translate business needs into analytical solutions Required Skills • Advanced Power BI expertise (data modelling, DAX, dashboard delivery), • Experience working with Databricks desirable (data querying, transformation), • Strong SQL skills desirable and ability to work with large, complex sales datasets, • Experience with data pipelines and ingestion processes, • Proven ability to connect and combine multiple data sources, • Experience working with sales, wholesaler, or FMCG data is highly desirable, • Strong understanding of commercial metrics and reporting, • Experience collaborating with data engineers and non-technical stakeholders, • Commercially minded with strong curiosity for sales performance drivers, • Detail-oriented with a strong focus on data accuracy and consistency, • Proactive and solutions-driven, • Ability to manage conflicting priorities and short deadlines, • Strong communicator, able to translate data into actionable business insight Success in This Role Looks Like • Seamless integration of wholesaler sales data across multiple partners, • Trusted, high-quality datasets supporting commercial decisions, • Widely adopted Power BI dashboards across sales and account teams, • Strong collaboration between analytics, engineering, and commercial teams, • Clear visibility of wholesaler performance, risks, and growth opportunities

JOB TITLE: Junior Analyst REPORTS TO: Senior Business Analyst DEPARTMENT: Support LOCATION: Penta Consulting Ltd, Oaks House, 16-22 West Street, Epsom, Surrey, KT18 7RG ABOUT PENTA CONSULTING LTD At Penta Consulting, we believe technology reaches its full potential when powered by the right people. As a leading provider of Technology Resource Solutions, we connect businesses with top-tier talent to drive digital transformation and innovation. With over 25 years of experience, we’ve built a global reputation for delivering high-quality expertise across key areas such as software development, artificial intelligence, project management, cloud computing, cybersecurity, enterprise architecture, and data analytics. Our clients span the globe, relying on our team of specialists to deliver tailored, impactful solutions. We’re proud to be a trusted partner in helping organisations stay ahead in a rapidly evolving digital landscape. If you're looking to join an award-winning, forward-thinking, and solution-focused team, Penta Consulting is the place to grow your career. KEY STAKEHOLDERS Executive Management, Senior Leadership, Professional Services Department, Resource Operations Department, Company Operations, International Team JOB PURPOSE This person will play an active role in maintaining the best practices and adherence to our internal playbook. DUTIES & RESPONSIBILITIES This person will be responsible for: Data Integrity & Governance • Conduct scheduled data quality checks within Mercury CRM, including:, • Mandatory field validation, • Vacancies Open for more than 6 months, • Reason code completeness, • Duplicate and inconsistent record checks, • Detection of backdated changes, • Support enforcement of standardised definitions, dropdowns, and workflows across teams., • Log and escalate data integrity risks to the Senior Business Analyst. Mercury CRM Workflow Compliance • Monitor user adherence to workflows across Sales, Care, Operations, and Compliance in line with Mercury playbook, • Surface issues such as missing paperwork, incorrect placement statuses, and overdue approvals., • Maintain compliance dashboards and provide weekly summaries of key findings. Departmental Reporting Support • Own the operational data inputs for departmental dashboards, including:, • Business performance (Frequency), • Trend analysis, • Compliance tasks, • Report on company performance, • Validate accuracy of departmental submissions and ensure alignment with reporting standards., • Identifying deficiencies withing the database and the CRM systems Architectural Alignment • Coordinate between frontline systems (Mercury CRM, Business Central) and downstream models (Power BI)., • Track, document, and communicate system issues or enhancements for BI and Mercury development teams., • Support change management as reporting logic, rules, or calculations evolve. Documentation & Change Control • Maintain all process documentation related to reporting, data controls, and audit routines., • Manage version control for reporting logic, definitions, and workflows., • Create clear summaries of issues, resolutions, and schema or field changes. EXPERIENCE & QUALIFICATIONS • Strong background in operational reporting, data quality, or business operations., • High attention to detail and accuracy; confident validating complex datasets., • Experience working with CRM or ERP systems (Mercury CRM or Business Central advantageous)., • Competent in Excel; familiarity with Power BI preferred., • Ability to manage recurring reporting cycles with precision and consistency., • Strong communication skills for cross functional collaboration. KEY COMPETENCIES • Analytical thinking - ability to identify inconsistencies, anomalies, and patterns in data., • Process ownership -takes responsibility for operational routines and service-level commitments., • Cross-functional coordination - collaborates effectively across Sales, Delivery, Finance, and Compliance., • Proactive problem solving -identifies issues early and escalates with solutions. THE IDEAL CANDIDATE • High data quality in Mercury CRM and departmental submissions., • Well maintained templates and reporting processes., • Clear documentation and traceability of all reporting changes.

If you’ve also worked in the following roles, we’d also like to hear from you: Data Governance Analyst, Data Analyst, Business Analyst, Compliance Analyst, Business Systems Analyst, Reporting Analyst, Data Quality Analyst. As a Data Systems Analyst you will help ensure data entering business sys

Nuffield Health is looking for a Business Intelligence Analyst in Epsom to drive a data-led culture. You'll turn complex datasets into clear, actionable insights and deliver high-quality reporting and dashboards across the charity. The ideal candidate will possess hands-on SQL and Tableau experience

Data Systems Analyst A fantastic opportunity for an analytical Data Systems Analyst with experience in data quality, SQL, GDPR, system integrations, compliance, reporting and data flow mapping. If you’ve also worked in the following roles, we’d also like to hear from you: Data Governance Analyst, Data Analyst, Business Analyst, Compliance Analyst, Business Systems Analyst, Reporting Analyst, Data Quality Analyst SALARY: £50,000 - £55,000 pro rata + Benefits LOCATION: Remote Working Available. For candidates who prefer Hybrid / Office based work there is that option too if you live within a commutable distance to Heathrow Airport, Hounslow, West London JOB TYPE: Full-Time, 12 – 18 Months Fixed Term Contract JOB OVERVIEW We have a fantastic new job opportunity for a Data Systems Analyst to provide dedicated oversight across IT, Projects, Compliance and Finance. As a Data Systems Analyst you will help ensure data entering business systems is accurate, complete and flows correctly through downstream processes, including customer outputs, internal reporting and regulatory submissions. The Data Systems Analyst will map data flows, identify issues, support GDPR compliance, validate duty calculation logic and carrier selection rules, and produce clear reporting on system health and compliance status. This role is ideal for someone who enjoys data governance, process improvement, SQL, stakeholder engagement and working across technical and non-technical teams. APPLY TODAY Ready to make your next career move? Apply Now for our Recruitment Team to review. DUTIES Your duties as the Data Systems Analyst include: Data Flow Mapping: Map data flows across a multi-application platform estate, from data import through to customer delivery and internal reporting Data Quality Controls: Design and implement validation rules, monitoring tools and controls to proactively identify data quality issues Issue Resolution: Identify gaps, breaks and inconsistencies in data as it moves between systems, working with IT and development teams to resolve them Compliance Assurance: Maintain assurance that systems and processes meet GDPR obligations, including data handling, retention and subject access requirements Regulatory Controls: Ensure duty calculation logic and carrier selection rules remain accurate and compliant with relevant financial and customs regulations Stakeholder Collaboration: Work with Finance, Compliance, IT and Project teams to translate regulatory obligations into system controls and monitoring Audit Support: Support internal and external audits by providing clear evidence of data accuracy and compliance controls Reporting and Dashboards: Produce clear reports and dashboards for senior stakeholders covering system health, data quality metrics and compliance status Documentation: Own and maintain data flow documentation, ensuring it remains current as systems and integrations evolve Process Improvement: Deliver automated reconciliation processes, compliance alerting, bad customer data processes and demonstrable improvements CANDIDATE REQUIREMENTS ESSENTIAL • Relevant Experience: Demonstrable experience in a data, compliance or systems analyst role within a technology-led environment, • Data Flow Knowledge: Strong understanding of data flows, system integrations and how data moves across multi-application estates, • Quality Controls: Experience designing or implementing data quality controls, monitoring frameworks or validation processes, • GDPR Understanding: Working knowledge of GDPR and practical experience applying data compliance requirements to business systems, • SQL Skills: Ability to read and interpret SQL queries to interrogate data and validate system outputs, • Mapping Tools: Proficiency in process and data flow mapping tools such as Visio or an equivalent platform, • Communication Skills: Able to turn complex data and compliance findings into clear, accessible reporting for leadership teams, • Stakeholder Management: Confident working across multiple functions and seniority levels with technical and non-technical stakeholders, • Self-Management: Self-directed, proactive and comfortable operating without a pre-existing framework DESIRABLE • Sector Background: Background in eCommerce, logistics, customs or financial services, particularly where duty, tax or carrier compliance is relevant, • Cross-Functional Experience: Experience working across IT and Finance functions, bridging technical and regulatory requirements, • Governance Tools: Familiarity with data governance frameworks or tools, including data catalogues or lineage tools, • Regulatory Knowledge: Exposure to import/export regulations or carrier compliance requirements, • Audit Experience: Experience supporting internal audits or regulatory submissions with data evidence packs, • Qualifications: Degree in Information Systems, Business, Computer Science or a related discipline, • Professional Accreditation: Data governance, compliance, business analysis or GDPR/data protection qualification such as BCS, ISEB or equivalent HOW TO APPLY To be considered for this job vacancy, please submit your CV to our Recruitment Team who will review your details. CV’s of Job Applicants meeting this requirement will be submitted to our Client for consideration. By submitting your job application to us you are hereby giving us your express consent to submit your details to our Client for this purpose. JOB REF: AWDO-C14759 Full-Time, Fixed-Term Contact IT Development Jobs, Careers and Vacancies. Find a new job and work remotely or hybrid. Multi-Job Board Advertising and CV Sourcing Recruitment Services provided by AWD online. AWD online specialise in sourcing candidates and advertising vacancies on multiple job boards for companies on a non-commission basis. AWD online operates as an employment agency. awd online | http://www.awdo.co.uk AWD-IN-SPJ

As a Business Systems Analyst, you will be responsible for creating and delivering high quality system solutions for our applications, products and services across all technology functions. The work you do with our team will directly improve health outcomes by connecting people with the care, pharma

Finally, as a GenAI IT Senior Data Scientist, you will contribute to PSG BI&A Data. Tableau with experience working in a Data Engineering team and a. Strong technical expertise in Generative AI, Data Science and Machine.

We are looking for a Learning & Development Data Analyst to join our L&D team and play a key role in ensuring the accuracy, integrity, and effectiveness of our learning data and reporting. Previous experience in a data analyst or reporting-focused role. Experience working with large data sets and da

We’re hiring a Senior Data Engineer to build and scale a global cloud-native Data Lakehouse platform powering quantitative research and trading analytics at massive scale. Senior Data Engineer (Cloud Data Platform / Lakehouse). Develop Python-based data pipelines for high-volume financial data.

The role also involves managing data integrations, maintaining data quality, and ensuring compliance with data protection regulations. Background in a Data Engineering or Data Analyst role. Monitor data quality, resolve issues, and maintain data integrity.

Care deeply about data quality and clean engineering. You'll own ingestion pipelines from global fund administrators, design scalable data models across relational, NoSQL and Delta architectures, and solve the reconciliation problems that turn fragmented investment data into a clean, unified layer t

Deep understanding of distributed data processing, enterprise data architecture, and modern data engineering practices. Strong understanding of data quality management, validation frameworks, and governance principles. They are seeking a highly experienced Principal Data Engineering Lead to play a p

By combining data, research, technology, and trading expertise, the firm fosters a collaborative environment focused on solving complex technical and quantitative challenges and delivering consistent, high-quality returns. Designing, implementing, and monitoring robust data quality frameworks across

Build and validate the simulation data onboarding pipeline against real data — including the 30 GB-per-run acoustic spectra dataset. Designs the metadata schema, builds the simulation onboarding pipeline, deploys metadata embedding pipeline and OpenSearch k-NN vector store, and authors data export

Data centres are central to the modern economy and the technology that powers them is evolving rapidly. At Hoare Lea you’ll gain a truly unique experience working across the full spectrum of the data‑centre sector — from early-stage site appraisal, masterplanning and feasibility studies throug

Tech stack: SQL, Postman/Bruno, QA, Tester, Test Analyst, API Testing, Selenium, Playwright, Jira, Azure DevOps). Test Analyst / QA Tester – Hybrid – Warwick - UK.

Strong problem-solving skills and a passion for improving data quality and reliability. This is a great opportunity for someone who enjoys working with complex data, solving challenging problems, and helping shape a growing data function. Senior Quant Data Engineer | London | Hybrid | Up to £85,000

Hiring: Data Scientist / Machine Learning Scientist.

Build and deliver high-quality data products in line with architectural designs. Partner with Business Analysts to ensure data solutions deliver real value. We’re working with a business in the middle of a high-impact data transformation—moving away from legacy constraints towards a scalable, cl

𝐒𝐞𝐜𝐭𝐨𝐫: Data Centres / Critical Infrastructure. You'll be working with a data centre operator to lead detailed electrical design across major projects.

Build and maintain our data warehouse and internal data architecture. You’ll have end-to-end ownership across tooling, data, and automation; shaping not just systems, but how the company runs. Are highly proficient in PostgreSQL and at least one major data platform (e.

Solid understanding of data modelling, transformation, and data quality considerations. We are hiring a Data Engineer to help build the systems that prepare, curate, and scale training and evaluation data for machine learning in autonomous driving. This includes handling multimodal sensor data, scal

This Senior Data Engineer role stands out for its focus on greenfield data projects, genuine ownership, and the opportunity to work end to end on modern cloud data platforms. If you are a Senior Data Engineer looking for autonomy, impact, and the chance to shape modern data platforms, apply now to l

Implement data quality and validation frameworks. Given the change in landscape and how many businesses are becoming agentic, they are looking to hire data engineers who simply have the core foundations (Python, SQL etc) rather than the usual wishlist!. Design, build, and maintain scalable data inge

You’ll work closely with data architects, analysts and wider engineering teams to help organisations better process, store and utilise data in fast-moving and technically challenging environments. This role is focused on building scalable data flows, transforming and managing large datasets, and s

Collaborate with marketing, analytics, and data engineering teams to ensure accurate data inputs. Analyse multi-channel marketing data to identify performance drivers and ROI. A global lifestyle brand is seeking an Marketing Data Scientist to support its global marketing effectiveness strategy.

Work with pathway databases, knowledge graphs, and large-scale biological data. Strong background in Data Science, Computational Biology, Bioinformatics, Statistics, Computer Science, Physics, Mathematics, or related fields. Experience with ML applied to biological data.

You’ll work on high-impact products with strong internal visibility, alongside experienced Data Scientists and AI Engineers. A major UK health and life insurance provider is hiring a Senior Data Scientist (AI) on a 12-month FTC basis to support a rapidly growing AI function focused on GenAI produc

DataScience #Hiring #MachineLearning #Insurtech #Proptech #FractionalRoles #StartupJobs. We're bringing on our first Data Scientist. This is a founding data role, structured to start as a focused part-time engagement (≈2–3 days/week).

Are you a hands-on engineering professional with a passion for delivering high-quality projects on-site? We’re looking for a. HVAC/Data Centre experience is a plus). For over 100 years, we have proudly developed innovative and energy efficient Indoor Air Quality solutions for commercial buildings

You’ll be responsible for owning and improving data pipelines that transform structured data into graph-based formats. Improve data quality, validation, lineage, and troubleshooting. You’ll inherit an existing data pipeline framework, assess what is working, decide what needs improving or replac

Solid data modelling and design experience, with the ability to re-architect data structures rather than simply replicate a legacy design. Apply validation rules and data quality controls. You will lead the technical delivery of a data pipeline workstream within Snowflake, operating as part of a wid

Investigate data quality, segmentation and performance issues. Experience working with real-world and imperfect datasets. Hands on experience in analysing bureau and transactional data e.

Strong understanding of data modelling, metadata, data quality, model evaluation, benchmarking, and error analysis. You will work at the intersection of machine learning, semantic data modelling, information retrieval, knowledge graphs, and real-world construction product data. Experience in constru

We're partnered with a boutique financial consulting firm seeking experienced Data Scientists to join their growing data practice in London. Taking ownership of data science projects from initial concept and rapid prototyping through to live production deployment. Proven ability to build and ship pr

A UK-based data and analytics business is hiring a Data Scientist to support the design and delivery of data-led products used by major enterprise clients. Conduct data discovery and exploratory analysis across large customer datasets. Do you want to build data products, not just models?.

DataEngineering #LeadDataEngineer #HealthTech #Databricks #AWS #Azure #Python #Spark #Hiring. Lead Data Engineer - Outside £600p/d | 3-6 month | Lead a Data Engineering function | HealthTech | Python, Spark, Data Bricks, AWS, Azure | Remote UK based. Digital have exclusively partnered with an excit

Transform complex, multi-source data into structured, high-quality assets. Implement data governance, lineage, and quality frameworks. Knowledge of data governance, metadata management, and security principles.

We’re hiring a Senior Data Engineer to design, build, and optimise scalable data pipelines on Google Cloud Platform. Strong SQL and data transformation skills. Open-source data framework experience.

They’re now hiring a Data Engineer to join a small, high-output engineering team building and running a proprietary cloud-native data platform. You’ll work directly with stakeholders across operations, research and investment, getting under the skin of how data moves across the business, spottin

SQL Server experience to join a high-performing team managing a hybrid data platform including SQL Server (2017–2025), Azure SQL, Cosmos DB, Azure Data Factory, and Power BI. Improve how data moves through the platform using Azure Data Factory and related tools. Work closely with engineers and ana

Experience in Developing Machine Learning / Data Science models, from coding to deployment. Familiarity working with large data sets. Data Science, Mathematics, Statistics, Economics, IT related fields and 2- 4 years of experience in Information Technology.

Are you an analytics engineer who loves turning messy data into clean, trusted datasets that actually get used? We're building a data platform that powers a fast-growing marketplace — and we're looking for someone to help shape it. You'll partner with data scientists and business stakeholders to d