Top Data Analyst Jobs in London

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.

Maintain and enhance marketing attribution models and data pipelines (dbt), ensure data integrity, build dashboards for stakeholders, run in-depth analyses, and translate results into strategic recommendations 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.

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 data quality, and liaise with stakeholders to implement pricing and allocation improvements.

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.

Support the Group Financial Controller by managing and cleansing finance master data across ERP systems (Sage, TMS, Jellyfish Buy). Ensure data quality, maintain customer/vendor/bank records, implement governance processes, and manage user access and audits to underpin accurate financial operations and reporting.

Maintain accurate people data and systems, produce dashboards and ad-hoc analyses (attrition, leave, surveys), partner with HRIS, Finance and IT to improve HR data quality, and deliver insights via SQL, Databricks and Power BI to support HR and business stakeholders.

Support people analytics by maintaining HR data systems, producing dashboards and reports, delivering ad-hoc analyses (attrition, leave), implementing survey reporting frameworks, improving data quality and governance, and partnering with HR, HRIS, Finance and IT to drive people insights and automation.

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.

The Junior Financial Data Analyst will manage finance master data in ERP systems, ensure data integrity, and collaborate with the Finance Team.

Lead the creation of Market Data Operations, manage Bloomberg and LSEG entitlements, maintain security master and identifier mappings, track enterprise data usage and costs, support exchange declarations/audits, resolve data quality issues, automate workflows, and provide stakeholder support for portfolio managers, traders, researchers and data teams.

Drive analytics for Payment Operations to improve payment quality and efficiency. Build attribution models for quality lapses, incorporate AI into review processes, expose and visualise payment data, create reports and pipelines, track KPIs, and collaborate with senior stakeholders to turn insights into operational improvements.

Lead analysis of operational data to support decision-making. Build dashboards and reports, partner with operations stakeholders to identify process improvements, monitor KPIs, and inform strategic initiatives.

Lead Product Data Analyst responsible for hands-on SQL and Python/R analysis, building large-scale data models, running A/B tests and statistical analyses, creating BI dashboards (Tableau/Looker), and translating findings into actionable recommendations. Coach stakeholders, collaborate with UX research, manage a project pipeline, and promote a test-and-learn culture within Product & Engineering.

Deliver customer and CRM analytics for Avios Retail: build segmentation and audiences, analyse campaign performance across Email/SMS/Push, design A/B tests, partner with Product, Trading, Engineering and Data to capture and activate customer data, and create reporting frameworks to drive personalised marketing and commercial decisions.

You'll partner with senior leaders to define and improve reliability metrics, influencing decisions based on data insights and system performance.

Partner with Product and Engineering to define metrics, run root-cause analyses and experiments, build tracking, reporting, and automated alerts, model data in dbt/BigQuery, scale AI-assisted analytics for self-serve, and communicate insights to drive product and business decisions.

Lead CRM analytics for Personal and Business segments: design measurement frameworks, run campaign and lifecycle analyses, apply A/B and incrementality testing, build segmentation models, maintain dashboards, ensure data quality, and partner with CRM, Product, and Data teams to optimise customer engagement and retention.

As a Senior Data Analyst, you will gather and document business requirements, manage stakeholders, analyze complex datasets, and create data models and dashboards.

As Lead Data Analyst, you will monitor and ensure the accuracy of forecasting models, diagnose forecasting errors, and communicate findings to stakeholders for operational improvement.

Lead last-mile geospatial analytics to optimise routing, network planning, forecasting and capacity. Build statistical and ML models, create Looker dashboards, track performance, and integrate analytics into operations. Partner with leadership and international partners, mentor colleagues, and drive data-driven strategies that reduce cost and carbon emissions.

Deliver actionable, data-driven insights and self-serve reports across brands. Build and optimise data sources, monitor experiments, create KPIs, automate processes, and work with data engineers to productionise outputs while communicating findings to stakeholders.

Lead a hands-on analytics role to design and build a scalable cost-to-serve model, integrate and transform multi-source data, ensure data quality, run scenario and statistical models, and translate outputs into actionable operational excellence insights for stakeholders.

Partner with regional teams and XPI to collect, clean, integrate, validate, and analyze partner and customer data. Build dashboards, automate data workflows with Python, query large datasets with SQL, and enable sales/marketing with accurate, actionable datasets and training.

Analyze business requirements and manage end-to-end data analytics delivery using Looker and BigQuery. Investigate data, build visualizations and reports, document processes, train clients, improve internal tooling, and present actionable insights to stakeholders.