Data Business Analyst (Insurance)

Location: London, United Kingdom; hybrid work mode

Company

hirify.global provides primary insurance services in the UK as part of Munich Re.

What you will do

• Gather, clarify, and document detailed data requirements, use cases, acceptance criteria, and business rules with stakeholders and the Business Product Owner.
• Produce and maintain source-to-target mappings, data definitions, transformation rules, data lineage, and documentation for data pipelines and Lakehouse ingestion.
• Act as the technical liaison between the Data & BI team, IT, data engineers, and business stakeholders.
• Ensure requirements are reflected in the Databricks Medallion Architecture and maintain the requirements backlog in Azure DevOps.
• Support backlog refinement, impact analysis, UAT, data quality validation, and assessment of delivered outcomes.
• Establish repeatable requirements documentation standards across the wider Data & BI function and collaborate across teams and regions.

Requirements

• Professional experience as a Business Data Analyst within the insurance industry.
• Intermediate to advanced SQL skills and proven experience building data products in a modern data environment, preferably Azure Databricks and Power BI.
• Strong hands-on experience with Azure DevOps for requirements and backlog management in an Agile delivery environment.
• Experience with Delegated Authority and Large Single Risk/Specialty stakeholders, including their different data and process dynamics.
• Experience producing high-quality business and data requirements documentation and translating between business, data, and technology teams.
• Working appreciation of cloud computing platforms, including Azure Databricks and other Azure components.
• Ability to understand emerging technologies, identify optimisation opportunities, and simplify data-related processes.
• Ability to work with Business Product Owners and IT delivery teams through Agile/Scrum ceremonies and backlog refinement.
• Understanding of Data Governance principles and concepts, including DAMA and DMBOK.
• Bachelor’s degree in a scientific, mathematical, technical, or business discipline and/or relevant professional qualifications, with sustained good performance in a data-centric role over a number of years.

Culture & Benefits

• Hybrid working in London within the Great Lakes Data & BI team.
• Collaboration across the wider organisation and regions.
• Commitment to diversity, equity, and inclusion and an equitable working environment.
• Compliance with Munich Re’s Code of Conduct and FCA Conduct Rules is required.
• Reasonable adjustments can be requested at any point in the recruitment process.