Senior Data Analyst

Discipline: IT & Technology
Job type: Permanent
Contact name: Luca
Contact email: luca@weareedenbrook.com
Job ref: J5842
Published: about 1 month ago
We are currently partnering with a market-leading Lloyd’s Insurer to recruit a Senior Data Analyst. Reporting into the Data Analytics Manager, the successful candidate will play a key part in building long-term data partnerships with underwriting, claims, and exposure management teams, ensuring analytics becomes embedded in everyday decision-making rather than delivered as standalone reports. Key Responsibilities: • Act as the senior analytics business partner to underwriting classes, identifying opportunities where analytics can enhance pricing, portfolio steering, renewal decisions, and exposure management. • Translate broad commercial questions into clear, actionable analyses and dashboard requirements. • Partner closely with the wider business to identify opportunities for automation and operational efficiency improvements. • Explore and implement AI-driven enhancements to analytics workflows, including the use of LLMs and agentic tools for data exploration, code generation, documentation, and insight generation. • Support the Data Analytics Manager in developing external data and analytics propositions, from discovery and prototyping through to delivery. • Embed and uphold the team’s BI and analytics development lifecycle, including documentation, peer review, naming conventions, and production sign-off processes. • Maintain robust source-control practices for Power BI assets, including PBIP/TMDL formats, Git repositories, feature branches, pull requests, and structured commit histories. • Contribute to Power BI governance, including Dev/Test/Prod environments, deployment pipelines, dataset certification, refresh monitoring, and access controls. • Coach and mentor analysts and BI developers on SQL, DAX, data modelling, visualisation best practices, and engineering standards. • Collaborate with Data Engineering teams to shape semantic layers and data marts that align with analytics and business requirements. • Deliver complex analytics initiatives end-to-end, including scoping, estimation, implementation, handover, and post-delivery review. • Operate within an Agile framework, contributing to backlog prioritisation, breaking down work into epics and user stories, and providing realistic delivery estimates. Skills & Experience: • 5–10 years’ experience in data analytics or BI, including experience within a Lloyd’s syndicate, managing agent, London Market broker, or specialty (re)insurer. • Strong SQL skills, including query optimisation and experience with the Azure data stack (e.g. Data Factory, Synapse, or Fabric). • Advanced Power BI capabilities, including data modelling, DAX, Power Query/M, performance optimisation, and deployment pipelines.