Top Data Analyst Jobs in London

Lead data governance and quality efforts by mapping data flows, classifying personal data, defining Critical Business Terms, supporting Data Owners/Stewards, creating data quality rules, identifying control weaknesses, and producing reports from the data governance tool to support business and regulatory requirements.

The Data Engineer will design and build production-grade data pipelines and architectures for AI solutions, ensuring data quality and collaborating with cross-functional teams.

The Senior Data Analyst delivers insights dashboards and data products, leads projects, mentors team members, and collaborates with various stakeholders for data-driven decision making.

The Senior Data Analyst will analyze data, run A/B tests, and provide insights to improve product decisions and user experiences.

The Senior Data Analyst will build a data-driven foundation in Capacity Management, focusing on metrics, forecasting, and driving decisions on infrastructure and resource allocation.

The role involves programming and data review for real-world data analysis, supporting epidemiologists, and managing complex data sets using statistical programming languages and tools.

Lead high-complexity analytics projects: partner with stakeholders, prepare and blend large datasets, apply intermediate statistics, build models and visualizations, deliver insights, and mentor junior analysts.

As a Senior Data Analyst, you will analyze data, provide actionable insights, build reports, and support decision-making across departments.

Define and enforce analytics measurement across web and app. Create implementation-ready tracking designs and Jira stories, support client- and server-side tagging, validate data quality, maintain event taxonomy and documentation, conduct audits, and troubleshoot tracking issues to ensure reliable, scalable analytics for product, marketing, and experimentation.

The Senior Data Analyst will own analytics for finance, create dashboards, ensure data quality, and communicate insights to support decision-making.

Conduct hands-on analysis of operational data across acquired businesses to find inefficiencies and opportunities, validate and profile inbound data, support internal data-product requirements, contribute to ETL and data preparation, and communicate insights to operators and leadership.

Partner with FP&A and senior stakeholders to deliver commercial and strategic analysis, own trading insights and executive KPIs, build and automate dashboards, develop end-to-end data models and pipelines (dbt), and enable AI-driven self-serve analytics for business decisions.

Work with stakeholders, product and technical teams to elicit, document, and translate business and data requirements into user stories and acceptance criteria. Support backlog refinement, run workshops, assist data analysis and validation, and identify process improvements to enable data-driven decisions.

The Data & MI Analyst will support regulatory reporting transformation by ensuring data quality, performing reconciliations, and building MI dashboards while collaborating with stakeholders.

Use SQL and Python to analyse transaction monitoring and fraud rule performance, identify patterns and anomalies, reduce false positives, and prioritise high-risk cases. Partner with FinCrime, Product, Compliance and Data teams to improve controls, data pipelines and detection logic, support scoring and future ML use cases, and translate analysis into actionable recommendations that balance fraud prevention with customer friction.

The Director Analyst focuses on data integration and engineering, providing insights, advice, and research to help organizations improve their data practices and strategies.

Lead research and forecasting on data center compute technologies, publish evidence-based analysis, advise senior IT leaders, present at conferences, and support sales and client engagement around server virtualization, cloud/hybrid infrastructure, containers, HCI, disaster recovery, and related vendor landscapes.

Lead research and thought leadership on audit data analytics, produce high-value insights and presentations, advise clients and sales, mentor junior analysts, shape research agenda, and drive data-analytics strategy and process improvements within internal audit.

Lead RWD analysis strategy and execution: develop technical specifications and statistical programs, perform complex observational analyses (propensity scoring, ML), validate cohorts/variables, ensure QC, collaborate cross-functionally, and communicate results to non-technical stakeholders.

The Data Product Analyst designs and manages data products for insurance domains, ensuring they meet analytical and compliance standards while collaborating with cross-functional teams.