Business Data Analyst

Senior Business and Data Analyst - MUST have London Market insurance / Lloyds of London domain expertise - hybrid London - £75,000 - 90,000 plus 15% cash flex (guaranteed income and can be taken as cash or used to buy extra benefits) plus bonus

This role focuses on leading business and data analysis across complex London Market / Lloyd’s insurance domains. You will act as a key bridge between business stakeholders and technology teams, ensuring insurance data is well‐understood, accurately mapped, and fit for regulatory, operational, and analytical use. The position supports major data, reporting, and platform transformation initiatives within a regulated insurance environment.

Your Role:

• Lead end‐to‐end business and data analysis across underwriting, pricing, claims, syndicate operations, delegated authority, and reinsurance.
• Perform data analysis, profiling, reconciliation, validation, and data quality assessments using SQL and analytical tools.
• Own data mapping activities including source‐to‐target mappings, business rules, transformations, lineage, and traceability.
• Analyse existing reports, extracts, and data flows to identify optimisation and reuse opportunities.
• Elicit and manage business requirements, user stories, functional and non‐functional requirements.
• Translate business needs into clear data and system specifications for technical teams.
• Support agile delivery through sprint planning, backlog refinement, and cross‐team coordination.
• Engage senior stakeholders, facilitate workshops, and produce executive‐ready documentation.

Your Skills:

• Strong experience within London Market / Lloyd’s insurance environments.
• Deep knowledge of syndicate data, delegated authority/bordereaux, reinsurance, and end‐to‐end policy lifecycle.
• Excellent SQL skills for data analysis, profiling, validation, and reconciliation.
• Proven expertise in data mapping, transformation logic, and data quality management.
• Experience supporting data migration, platform modernisation, and regulatory reporting.
• Familiarity with cloud data platforms, reporting layers, metadata, and data lineage concepts.
• Strong experience working in agile or hybrid delivery models across distributed teams.
• Excellent communication, stakeholder management, and problem‐solving capabilities.