Top Data Analyst Jobs in London

Support end-to-end data lifecycle for compliance by turning business problems into validated data assets: gather requirements, create data dictionaries and mappings, map processes, write and optimize SQL, perform EDA, run UAT tests, build and maintain BI visualizations (Tableau/Mode/PowerBI), and monitor dashboard performance.

Own paid lead-generation across Meta and Google, run and optimise acquisition campaigns, build SQL-based analytics connecting campaign, CRM and onboarding data, improve data-to-ads signal integrations, optimise conversion paths and run statistically rigorous A/B tests, and partner with country sales leaders to drive qualified pipeline and efficient unit economics.

Lead CRM data analyst responsible for driving lifecycle marketing measurement, designing experiments, building segmentation models, ensuring data quality, and delivering scalable dashboards and actionable insights to optimise acquisition, engagement, and retention.

Lead pricing analytics for Wise Platform: identify strategic pricing and cost problems, perform deep-dive cost investigations, monitor P&L and profitability drivers, improve pricing models, and partner with stakeholders to implement data-driven pricing strategies.

Partner with product, data science and engineering to deliver high-quality analysis, run customer journey and A/B test analyses, build visualizations and self-service tools, mentor junior analysts, and influence product strategy and data-driven culture across the company.

Lead analytics for customer operations: build capacity planning and forecasting models, own data pipelines, develop predictive and causal inference analyses, track KPIs, standardise processes, and partner with operations, WFM, quality, and training to drive data-driven improvements.

The Senior Marketing Data Analyst will maintain the attribution model, ensure data accuracy, work with marketing and data teams, and provide insights to improve marketing effectiveness.

The Staff Data Analyst leads complex projects, develops scalable data solutions, and mentors other analysts while driving strategic initiatives at Wise.

The Payments Data Analyst will manage the payments data lifecycle, delivering insights to enhance performance, support commercial decisions, and facilitate partnerships across teams while ensuring data quality and accessibility through analytics tools.

Lead end-to-end delivery of compliance data products: translate business needs into specs, map sources, define KPIs, design transformations with data engineers, run UAT, and build insightful dashboards to drive stakeholder decisions.

Build and own data pipelines and metric definitions for finance reporting, map systems to the General Ledger, produce audit-ready data extracts, automate reporting integrations (Anaplan/Planful), and partner with Finance leadership to ensure consistent, accurate financial disclosures.

Design scalable telemetry and event schemas for game analytics. Partner with game dev, analytics engineering, and data science to translate requirements into telemetry, validation rules, and documentation. Ensure data quality, support QA checks, and maintain standards for discoverability, governance, and downstream modelling, reporting, experimentation, and ML use.

Perform data collection, analysis, and interpretation to identify trends. Build and maintain dashboards and reports, ensure data accuracy through quality checks, collaborate with teams to deliver actionable insights, and support development of analysis methodologies.

Lead end-to-end analytics projects delivering executive-ready insights. Architect and govern Domo dashboards, enforce data quality and lineage, manage ETL and warehousing integrations, and partner with senior stakeholders across Product, Commercial, Finance and Leadership.

Support Commercial Risk through daily/periodic risk reporting and VAR processes, develop and validate quantitative models for valuation and risk of complex gas and power transactions, perform price time-series analysis, ensure risk data quality, improve risk systems and reporting, and collaborate with traders and stakeholders to operationalise models and deliver ad-hoc analyses.

Combine reward program administration and people analytics: support annual pay review, bonus schemes, benefits and legislative reporting; prepare, cleanse and validate HRIS data; produce reports, visualisations and insights to inform people decisions; support data governance and documentation.

The Data Analyst will create and manage dashboards using Google BigQuery and Looker Studio, analyze marketing and sales performance, and derive insights to enhance customer experience and decision-making processes within the company.

Support end-to-end processing of delegated bordereaux data (risk, premium, claims): validate, reconcile, monitor receipt, manage queries with third parties, contribute to MI/reporting, and drive process standardisation and continuous improvement to reduce manual work.

Maintain and own infrastructure portfolio data across financial, operational, ESG and value-creation metrics. Run recurring data collection, ensure data quality, produce dashboards and investor reporting, support ESG regulatory reporting and coordinate external providers.

Design and build data models, reports, and dashboards to support Claims and Fraud operations. Analyze performance, identify trends and improvement opportunities, and deliver data-driven insights to senior stakeholders. Collaborate cross-functionally with Claims, Fraud, Pricing, and Actuarial teams to inform strategic decisions and track initiative impact.

As a Data Analyst, you will ensure data integrity, improve data pipelines, communicate with stakeholders, and lead root cause analyses while maintaining quality across reference data products.

Embed in the Pitstop squad to build monitoring and analytics for launch readiness, handover speed/accuracy, retention, and cost-per-parcel. Investigate performance, quantify initiative impact, diagnose churn and LiveOps ticket drivers, maintain dbt models and pipelines, and deliver KPIs and dashboards to guide squad decisions.

Produce and evolve weekly and monthly finance reporting for Third Party Brands, support month-end actuals and forecasting, partner with Commercial and FP&A teams, model P&L and cash for business cases, own budgeting for other income lines, and present financial analysis to senior stakeholders.

Provide financial and analytical support for a ~$70m project portfolio: manage monthly forecasting and reporting, deliver variance analysis and dashboards, ensure financial controls, support project financial planning and accruals, drive data integrity and automation across PPM tools, and partner with PMO and delivery teams to support portfolio governance and decision-making.

Work cross-functionally to design and execute data-driven strategies across pricing, promotions, forecasting, growth, credit risk, and product analytics. Build models and monitoring, evaluate new product/channel opportunities, present insights to leadership, validate deployed strategies, and mentor junior analysts to scale the business.