Top Data Analyst Jobs in London

Own subscription and lifecycle analytics: analyze funnels, build dashboards, perform retention deep-dives, and develop LTV and churn models. Collaborate with Growth, Product, and Editorial to translate insights into product and marketing actions that improve retention and revenue.

Partner with FP&A and senior leadership to deliver executive-ready analyses, forecasting models, and driver-based insights. Lead end-to-end analytics initiatives connecting Product, Marketing, and Operations to financial performance, identify growth opportunities and risks, and improve decision-support frameworks toward strategic planning and IPO readiness.

Develop and productionize time-series forecasting models (initially meteo-to-power: wind/solar), automate and run forecasts, maintain data feeds and dashboards, support traders with timely, error-free forecasts, and contribute to team operations and modelling advice.

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

Entry-level role for recent graduates to research and support Data & AI innovation. Responsibilities include trend research, using GenAI tools (e.g., Claude), developing client-facing presentations, collaborating with senior experts, and contributing to new Data and AI offerings.

Lead analytics for global clients: develop dashboards, forecasting models and analytics tools; perform audience analysis, segmentation, performance measurement and automation; support proposals and new business; mentor junior analysts; shape analytics strategy and communicate insights to senior stakeholders.

Manage Alfa's day-to-day data privacy programme: draft and review policies and DPAs, run DPIAs, compile Records of Processing Activities, support international data transfers, lead audits, perform privacy risk assessments, and collaborate with Information Security, legal and client teams to ensure GDPR compliance and remediation tracking.

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

Support daily asset allocation and portfolio rebalancing for DC clients, investigate client and internal queries, maintain procedures and controls, analyse data for discrepancies and improvements, support reporting and monitoring, assist technology/process enhancements, and collaborate across teams to deliver accurate operational and client outcomes.

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.

Lead administration and roadmap for BI tools (Domo, Tableau); build advanced dashboards with custom code; automate ETL with Airflow and Jenkins; use SQL, Python, and Java; apply AI to speed development; train and mentor analysts and ensure high-quality, user-focused data visualizations.

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

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 Senior Data Analyst will support the CEO Office with analytical insights for transformation initiatives, evaluate market opportunities, identify growth areas, and develop analytical models for business performance.

Lead design and delivery of a secure, scalable Microsoft-based data platform and centralized reporting for financial and operational metrics. Build centralized data model, manage ingestion/transformation/semantic layers, develop Power BI dashboards, ensure compliance, and engage senior stakeholders to translate needs into technical solutions while driving adoption.

Design, build, and maintain Power BI dashboards and automated workflows using Microsoft Power Platform and ServiceNow. Write and optimize SQL for Snowflake and other databases, perform data validation and lineage, support Workday/ServiceNow integrations, provide go-live support and troubleshooting, and uphold data management and governance practices across corporate and client-facing teams.

Lead the development of data products by analyzing customer needs, improving data structures, and creating actionable insights through collaboration with cross-functional teams.

Assist in implementing data governance frameworks and policies, ensuring data accuracy, creating data dictionaries, and contributing to data governance training and materials.

Lead insider risk and data loss investigations from triage to closure, operate and tune DLP across environments, build detections and workflows, partner with HR/Legal/Compliance/IT, mature insider risk program, support audits, and mentor others.

Partner with product and business teams to define metrics, design and analyze experiments, build analytical frameworks, maintain governed dashboards, conduct deep-dive analyses (funnels, retention, cohorts), size opportunities, and connect product metrics to revenue to inform roadmap and leadership decisions.

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.