Data Governance Analyst

The Role: At Canopius, our delivery teams are responsible for ensuring that business users can effectively harness data insights to drive strategic decision making. Our data strategy is centred around an enterprise Lakehouse platform on Databricks, avoiding fragmented, ungoverned silos on legacy technologies that hamper creativity and scalability. We are building a governed, interoperable data estate that enables self-service for our business teams and provides the trusted foundation for advanced analytics, machine learning and AI to accelerate change across our industry. The Data Governance Analyst supports the establishment and operation of effective data governance across Canopius, helping to ensure data is well-defined, trusted, controlled and used consistently across the business. Working within the Data Governance team, the role partners with Data Owners, Data Stewards and wider governance functions to embed policies, standards, metadata, lineage, business definitions and data quality practices across all business domains. The role administers and maintains the Data Governance toolset, ensuring metadata, business glossary content, data ownership, classifications and supporting governance artefacts remain accurate, complete and up to date. It also supports governance forums, working groups, data issue management and reporting, helping projects and business teams understand and evidence compliance with data policies and standards. The ideal candidate is an analytical and detail-focused data professional who is enthusiastic about building a stronger data-led culture and improving the way data is governed across the organisation. You will bring strong data analysis and Excel skills, an understanding of data governance principles, and the confidence to engage stakeholders across business and technology teams.

You will also bring practical experience using governance tooling to support metadata management, data quality, business glossary maintenance and continuous improvement. Experience of insurance data, particularly Lloyd's market data, would be advantageous. #J-18808-Ljbffr