Business analyst in insurance

This role sits within the Great Lakes Data & BI team, acting as the technical bridge between the business and IT. Reporting to the Data & BI Lead, the successful candidate will take ownership of the technical detail of requirements gathering, including use case development and source to target mapping, working closely with the Business Product Owner to translate agreed business priorities and outcomes into clear, delivery-ready requirements.

• Work directly with business stakeholders to elicit, clarify, and document detailed data requirements, translating business needs into clear, structured and delivery-ready requirements with acceptance criteria
• Produce and maintain source-to-target mappings, data definitions and transformation/business rules for data pipelines and Lakehouse ingestion
• Act as the technical liaison between the Data & BI team and IT, improving handover quality and time to value
• Partner with data engineers to ensure business and data requirements are appropriately reflected within the Databricks Medallion Architecture (Bronze/Silver/Gold)
• Own and maintain requirements and backlog content within Azure DevOps (ADO), ensuring requirements, acceptance criteria, dependencies, data lineage and supporting documentation are sufficiently defined for refinement and delivery, and providing impact analysis to support Business Product Owner decisions
• Support UAT and data quality validation, including preparation of business validation scenarios and assessment of delivered outcomes against agreed requirements
• Collaborate within the wider organisation, working fluidly across teams and regions.
• Help establish and embed repeatable standards/templates for requirements documentation across the wider Data & BI function
• Ensuring compliance with Munich Re’s Code of Conduct and the FCA Conduct Rules

• Professional experience in a (Business) Data Analyst role within the insurance industry
• Intermediate to advanced SQL skills, with proven experience building data products in a modern data environment (preferably Azure Databricks and Power BI)
• Strong hands-on experience with Azure DevOps (ADO) for requirements and backlog management within an Agile delivery environment
• Ability to quickly comprehend the functions and capabilities of existing, new and emerging technologies that enable and drive new business designs and models
• Experience working with both Delegated Authority and Large Single Risk/Specialty stakeholders, understanding the different data and process dynamics of each
• Strong collaborator, able to work effectively within a close-knit team as well as across the wider organisation
• Working appreciation of cloud computing platforms such as Azure Databricks and other Azure components
• Proven ability to produce high-quality business and data requirements documentation and provide clarity to stakeholders
• Proven experience acting as a business-to-data/technology translator, supporting business and IT delivery from a data requirements perspective
• Have an outcome and solution-driven mindset as well as being able to identify opportunities to optimise and simplify existing data-related processes
• Comfortable operating in an Agile/Scrum delivery environment, working with Business Product Owners and IT delivery teams through backlog refinement and relevant delivery ceremonies
• Understanding of Data Governance principles and concepts (DAMA, DMBOK)
• Будет плюсом: Bachelor’s degree in a scientific, mathematical, technical or business discipline and/or; Relevant professional qualifications; Sustained good performance in a data-centric role over a number of years

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