Data Analyst

• Operate as a full-stack data analyst within the Pro team
• Own the design and evolution of dashboards, north star metrics and analytical frameworks that drive decisions at the highest level of the business
• Build and maintain data infrastructure at scale, from scalable dbt models and production pipelines to full-funnel reporting that powers cross-functional teams
• Lead experimentation across the Product domain by designing and owning A/B testing frameworks and applying causal inference techniques
• Influence technical direction across the data team, contributing to how we build, what we prioritise and how we raise the bar on data quality and engineering standards
• Embed AI tooling into your workflow in ways that have tangible business impact
• Deliver insights through clear, data-driven storytelling to technical and non-technical audiences, including senior leadership

Data Analyst, Product

• Lead the strategy behind optimising and personalising Financial Services offers across the customer journey
• Create the analytical strategy that connects customers with the right Financial Services products
• Work closely with Product, Commercial, Partnerships and Marketing teams to use data, experimentation and advanced modelling
• Shape approach to personalisation, optimisation and measurement while leading a team of analysts
• Influence product roadmaps, investment decisions and strategic priorities across the business
• Develop the next generation of analytical capability at Very
• Measure and improve the effectiveness of campaigns, partnerships and cross-sell activity

Senior Product Analytics Manager – Financial Services

• design and deliver impactful Power BI solutions by wireframing dashboards with stakeholders
• analyse and validate data to ensure reporting accuracy, uncover trends and insights
• turn data into compelling stories by collaborating with stakeholders to shape requirements
• drive continuous improvement and governance through robust documentation

Senior Associate, Data Analyst – 12 month FTC

• Collaborate closely with colleagues across the wider analytics team and project stakeholders to deliver high-quality analytical solutions (i.e., dashboarding, data storytelling, machine learning)
• Focus on advanced analytics and reporting using Oracle Fusion Data Intelligence, Oracle Cloud ADW database and many more exciting tools.
• Partner with stakeholders to understand business requirements, identify data needs, and transform complex data into meaningful, actionable insights.
• Extract, analyse and interpret data from multiple sources, developing robust reporting solutions, and delivering intuitive dashboards and visualisations that support both strategic and operational objectives.
• Combine strong technical expertise with a business focused mindset, developing and maintaining reporting solutions, performing complex data analysis, and presenting findings in a professional, engaging and user-friendly manner.
• Advocate for data-driven thinking, applying data storytelling techniques to communicate trends, risks and opportunities, while championing data quality and continuous improvement through the development of robust standards and processes.

Reporting and Analytics Specialist

• Ingest, process, and manipulate large, often unstructured, datasets (100,000+ rows)
• Clean, standardize, and transform data using advanced scripting and regular expressions
• Design and implement intelligent mapping logic to match and reconcile records across disparate datasets
• Contribute to data transformation, workflow automation, and process optimization initiatives
• Translate complex data processes and findings into clear, actionable insights and summaries for various stakeholders

• Develop insights through data and analytics capabilities to optimise performance across brands
• Support the evolution of the data landscape, employing new technologies and tools
• Play an active role in transitioning from GDW to GCP
• Provide actionable insight to optimise performance, inform pricing and proposition decisions
• Influence customer demand across journeys
• Collaborate with Senior Leaders and cross-functional teams to develop and deliver data led insights
• Design, build, and deliver high-quality analytics and insight solutions
• Translate complex data into clear, actionable insight
• Champion data quality, governance, and responsible data use
• Work collaboratively with Technical Engineers, Product Owners, and Solution Architects

Senior Analyst, Loans Analytics & Insight

• Partner with product and business teams to run rigorous analysis (root cause, opportunity sizing, funnel drop-off) and turn it into clear, prioritised recommendations, moving across problem areas as priorities shift.
• Define, document, and maintain clear metric definitions and business context, so stakeholders can understand the performance of their area and AI tools can interpret our metrics correctly (e.g. Transaction Success Rate, Fraud Rate).
• Set up tracking and monitoring for new launches and changes, and quantify and measure their impact on KPIs.
• Build and maintain a reporting layer, with automated alerting and root cause analysis that flags when KPIs move unexpectedly and why.
• Design, run, and interpret experiments, from A/B tests to quasi-experimental methods like difference-in-differences when randomisation isn't possible.
• Model robust, trusted data in our dbt and BigQuery layer, safeguarding its quality through testing, documentation, and certification in collaboration with engineering.
• Create reusable, AI-assisted analytics skills that scale the team's impact and help Product and Engineering self-serve.
• Communicate complex concepts and findings to technical and non-technical audiences across different teams, while ensuring clarity and understanding to drive critical business decisions.

Senior Data Analyst

• The primary steward of the modelled datasets the Credit Risk team relies on daily: maintaining field logic, monitoring data quality, and ensuring the data as well as the dictionary remains accurate and fit for purpose.
• Creating new tables and pipelines as the team’s analytical needs evolve, working to a high standard of code quality and documentation.
• Proactively identify anomalies, breaks, and drift in the datamart, and investigate root causes before they affect downstream users.
• Be the go-to person for data questions from analysts and model validators, and will maintain clear documentation so others can self-serve confidently.
• Working closely with the central Data to align on tooling, infrastructure, and best practice, and promote those to the Credit Risk Team.

• Contribute to developing and implementing a comprehensive analytics strategy that aligns with our business objectives.
• Design, develop, automate, and maintain ongoing metrics, reports, analyses, and dashboards on the critical drivers of our business.
• Maintain data integrity and quality through the use of tools such as dbt.
• Partner with Finance, Marketing, Sales, and Product teams to provide customer insights and identify opportunities for growth and customer acquisition, retention and engagement flows.
• Champion the use of data in decision-making, ensuring data accessibility and literacy across all departments.
• Champion and embed AI tools and agentic workflows across the data practice, accelerating analysis, automating repetitive tasks, and enabling forward-looking insights, while experimenting with emerging approaches and establishing best practices that continuously raise the team's AI maturity.

Staff Data Analyst

• The analysis behind our insights, from raw data to the charts and the written finding
• Survey data from Campus Voice and our commissioned studies: cleaning it, weighting it, and reading what it actually says
• SQL against our BigQuery platform, pulling and shaping the datasets the team runs on
• Clear visualisations for our reports, and the charts and numbers that feed our commercial pitches, from local advertisers to national brands
• Crosstabbing survey and behavioural data against our student personas and segments
• Keeping survey instruments, notebooks and documentation in a state where the research runs again next quarter
• Working with the engineering team to sharpen the datasets and pipelines

• Learn EXL's Data, AI and Analytics capabilities, solutions and industry expertise
• Research emerging trends across sectors including Insurance, Retail, Consumer, Healthcare, Life Sciences and Financial Services
• Identify opportunities to apply successful ideas from one industry into another
• Use AI tools such as Claude and other GenAI platforms to co-create new concepts, solutions and client propositions
• Support the development of presentations, thought leadership and client-facing materials
• Analyse market trends, competitor activity and new technologies
• Transform research into clear, engaging and visually compelling PowerPoint presentations
• Help develop innovative concepts that can be presented through internal innovation forums and idea challenges
• Work closely with senior leaders and subject matter experts to refine and develop new ideas
• Contribute to projects that help shape EXL's future Data and AI offerings.

Graduate Analyst, Data & AI Innovation

• Develop and maintain automated data collection processes using APIs, web-scraping tools and external market data sources.
• Source, validate and monitor datasets to ensure high levels of accuracy, quality and reliability.
• Clean, transform and model data using Python, Pandas and SQL.
• Support European Gas and LNG analysis through datasets covering flows, storage, supply and demand fundamentals, and cargo tracking.
• Analyse data to identify trends, anomalies and market insights that support business decision-making.
• Build dashboards, visualisations and analytical tools for traders and analysts.
• Collaborate with Data Scientists to develop and enhance analytical, AI and machine learning solutions.
• Utilise modern AI-assisted development tools to improve efficiency, automation and delivery.
• Maintain high standards of data governance, security and documentation.
• Take ownership of projects from requirements gathering through to deployment and ongoing support.

Gas and LNG Data Analyst – 12 Month FTC

• Analyse and interrogate finance and operational data to answer client questions, producing clear, reliable reporting and analysis across client engagements.
• Model and analyse finance datasets — including data for close, reporting, FP&A, and valuation — with clear lineage from raw inputs through to analysis-ready outputs.
• Prepare and structure the data that supports applied AI and analytics delivery: retrieval sources, context datasets, and the inputs that keep analysis current.
• Extract and combine data pragmatically from client systems (ERP, databases, SaaS, and legacy sources), working with the access control and sensitivity that client data demands.
• Work to good analytical standards in day-to-day work: version control, reproducible and well-tested analysis, peer review, and clear documentation.
• Build clear, reliable dashboards and reporting that stakeholders can trust, understand, and reuse.
• Use AI-assisted tools (e.g. Claude, Cursor) to accelerate analysis, reporting, and insight work.
• Translate ambiguous client questions into scoped, deliverable analysis on compressed timelines, then deliver it.
• Collaborate closely with data engineers, data scientists, and non-technical client stakeholders, and present findings others can act on.

Finance Data Analyst

• Own data access across the product lifecycle: Be the team's first port of call for data requests, pull, shape and deliver data in the format product, CS and sales need.
• Validate and quality-check: Sanity-check, validate and QC data across the platform so the team can trust every number. Spot anomalies, chase them down, and keep our data honest.
• Manage imports and ingestion ops: Run routine data imports and ingestion tasks, making sure data lands cleanly, completely and on time.
• Work AI-first: Use AI tools (Claude, Cursor, Copilot and similar) to rapidly translate business logic or SQL into complex database queries (including NoSQL / Elastic / Mongo), accelerating repetitive work, and continually improve how the team gets and checks data.
• Document and share knowledge: Document data sources, queries and processes so knowledge never sits with just one person. You make the team less dependent on any single individual, including yourself.
• Own the long tail: Take ownership of the steady stream of ad hoc requests that keeps the wider team moving.
• Partner cross-functionally: Work closely with data engineers and product team, translating between technical data and real business needs.

Data Operations Analyst

• Be part of a product development team responsible for idea generation, specifications, UI design, manual and automated QA, and delivery.
• Work closely with the quantitative development team on developing, testing, and supporting valuation models for convertible bonds and other asset classes.
• Within two to three months, complete onboarding covering convertible bonds, financial markets, internal processes, products, services, and how we support our clients.
• Develop a strong understanding of convertible bonds, including structures, prospectus language, valuation models, and how different features affect theoretical pricing.
• After onboarding, receive targeted training in the processes, tools, and techniques used across product and quantitative development.
• Once you complete your training, work directly with the founder and senior team members to turn internal ideas and client requests into delivered features and products.
• As your career develops at Leversys, broaden your knowledge across additional asset classes and front-to-back functions.
• This role will help you become an expert in financial instruments, capital markets front-to-back requirements and functions, and the technology and quantitative development process from concept to delivery.
• You can continue developing your career within product development, while this role may also provide a pathway to working exclusively within the quant development team for those with strong quantitative education and programming skills.

Quantitative Analyst

• Collect, validate and maintain sustainability and ESG datasets from internal teams and external partners.
• Support the tracking and reporting of environmental and social performance metrics.
• Maintain accurate records relating to product certifications, supplier compliance, packaging and sustainability claims.
• Ensure data integrity across sustainability systems, supplier platforms and internal databases.
• Assist with data cleansing, reconciliation and quality assurance activities.
• Produce regular sustainability performance reports and dashboards.
• Support ESG reporting requirements and disclosure processes.
• Analyse trends and identify data anomalies, gaps and opportunities for improvement.
• Prepare reports and presentations for internal stakeholders.
• Support carbon, packaging and responsible sourcing reporting activities.
• Assist with the collection and validation of evidence required for audits and compliance activities.
• Support the management of certification and traceability data within relevant platforms.
• Monitor supplier data submissions and follow up where information is incomplete.
• Help ensure reporting aligns with emerging sustainability regulations and industry requirements.
• Support the administration and development of sustainability data systems and tracking tools.
• Identify opportunities to improve reporting efficiency and data accuracy.
• Contribute to the development of new dashboards, automated reporting and process documentation.
• Work closely with Sustainability, Product, Sourcing and Technology teams to improve data availability and accessibility.

Junior ESG Data Analyst

• Maintain and update asset and maintenance master data within corporate systems
• Manage the creation, amendment and retirement of asset records
• Support the allocation and optimisation of maintenance plans
• Monitor and improve asset data quality
• Extract, analyse and interpret asset and maintenance data
• Produce regular and ad-hoc reports and insights
• Support projects through data provision and system updates
• Develop and maintain process documentation
• Promote continuous improvement and data governance
• Provide support and guidance on asset data and SAP Plant Maintenance

Asset Data and Assurance Analyst

• Lead the design, development, and delivery of analytical data products that support insight-led business decisions. Examples may include customer value models, propensity models, performance measurement frameworks, forecasting solutions and self-service insight products
• Partner with Consumer Insights colleagues to combine behavioural, transactional and attitudinal research data into a single, holistic view of customers
• Act as a trusted partner to stakeholders, proactively engaging to understand their challenges and co-create analytical solutions.
• Own the end-to-end lifecycle of data products—from discovery and prototyping to deployment and stakeholder enablement.
• Support ad hoc business reviews focused on key business questions and areas of opportunity, providing rigorous and timely analysis to help drive progress
• Deliver hands-on analysis using SQL, Power BI, and Python/R, ensuring outputs are robust, scalable, and actionable.
• Translate complex data into clear, compelling narratives tailored to different audiences, including senior leadership.
• Collaborate with data engineering and product teams to ensure data infrastructure supports analytical needs.
• Provide thought leadership on how data, combined with research techniques, can be used to drive value, influence strategy, and improve customer outcomes.
• Mentor junior analysts, fostering a culture of curiosity, technical excellence, and continuous improvement.
• Promote best practices in analytics, data storytelling, and stakeholder engagement across the team.
• Stay abreast of industry trends, tools, and methodologies to continuously evolve the team’s capabilities.

Portfolio Analytics Manager

• Combine telemetry with game & system context to analyse engagement and performance across the title
• Work alongside Design, Engineering, and Production to define metrics and build dashboards to support decision making
• Identify opportunities to improve analytical workflows and performance visibility
• Communicate effectively across all disciplines, turning noisy data into clear insights

• Own and continuously improve the company's performance management framework.
• Lead company-wide OKR planning, tracking and quarterly review cycles.
• Design and implement scalable people processes that improve organizational effectiveness.
• Analyze people, performance and operational data to identify trends, measure outcomes and recommend improvements.
• Build dashboards and reports that provide meaningful insights into organizational performance.
• Define business requirements for HR systems, reporting tools and workflow automation.
• Partner with leaders across the company to improve team performance and execution.
• Develop frameworks for performance reviews, calibration, promotions and career development.
• Drive initiatives that strengthen accountability, ownership and a high-performance culture.
• Ensure company values are embedded throughout employee programs, performance evaluations and day-to-day operations.
• Continuously identify opportunities to simplify processes, eliminate inefficiencies and improve the employee experience.
• Support strategic people initiatives and organizational projects as the company grows.

Data Analyst jobs in United Kingdom

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Data Analyst, Product

Senior Product Analytics Manager – Financial Services

Senior Associate, Data Analyst – 12 month FTC

Reporting and Analytics Specialist

Data Analyst

Senior Analyst, Loans Analytics & Insight

Senior Data Analyst

Data Analyst

Staff Data Analyst

Data Analyst

Graduate Analyst, Data & AI Innovation

Gas and LNG Data Analyst – 12 Month FTC

Finance Data Analyst

Data Operations Analyst

Quantitative Analyst

Junior ESG Data Analyst

Asset Data and Assurance Analyst

Portfolio Analytics Manager

Data Analyst

People Analytics – Performance Manager