Top Data & Analytics Jobs in London

Lead analytics for Wise Business Sales and Total Service teams by building dashboards, forecasts, cohort reports, and performance analytics. Optimize sales and service funnels, portfolios, lead management, conversion, churn prevention, SLAs, and team capacity. Conduct market sizing and expansion analysis, support go-to-market strategy, and establish reliable data foundations with Analytics Engineering. Translate commercial data into actionable recommendations while managing cross-functional projects and stakeholders.

Drive pricing-led growth through experiments, customer pricing comprehension measurement, segment economics, and cross-border and account pricing strategy. Partner across Product, Pricing, Design, Finance, Marketing, and Engineering to translate insights into decisions. Lead analytical roadmaps, build scalable data infrastructure with SQL and dbt, influence senior stakeholders, mentor analysts, and establish technical best practices.

Own the global marketing measurement framework spanning attribution, experimentation, and Marketing Mix Models. Lead two analysts, develop the measurement product roadmap, build scalable attribution features using SQL, Python, and dbt, and generate insights to optimize marketing channels and spend. Partner with marketing, data science, engineering, and finance teams while serving as the subject matter expert on advertising effectiveness and communicating recommendations to technical and non-technical stakeholders.

Generate actionable growth and financial insights through dataset curation, metric development, statistical modeling, and deep-dive analysis. Analyze company and regional growth drivers, customer segments and cohorts, and the financial impact of marketing and product initiatives. Build data visualizations and communicate findings to influence business decisions, while managing stakeholders and organizing work independently.

Lead pricing analytics for Wise Platform by investigating cost data, improving data quality and allocation methodologies, monitoring financial performance, and identifying profitability and growth opportunities. The role requires building complex SQL data sources, developing reusable dbt models, explaining product economics, influencing pricing strategies, and partnering with analytics, engineering, and business teams.

Lead product analytics for Wise Business: define and track KPIs/OKRs, build data logging and automated pipelines, run deep-dive analyses, quantify feature impact for prioritization, and translate findings into clear recommendations for product and leadership.

Lead analytics for the Financial Crime Platform, partner with product and engineering to build metrics, pipelines, visualisations, and features for fraud/AML risk models, drive discovery and data-driven decisions balancing risk and customer experience.

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.

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 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.