Data Business Analyst

About the Position

Location: London, United Kingdom

Job type: Full-Time

Work mode: Hybrid

Job ID: 14651

Company: Great Lakes Insurance SE

Employment type: Regular

Area of expertise: Data, BI & Analytics

About Great Lakes Insurance SE:

As a specialty provider of primary insurance services in the UK, Great Lakes London Branch (“GLLB”) is a substantial part of Great Lakes Insurance SE in Munich. Our interlocked business model is to seize opportunities closely connected to the reinsurance core business and innovation opportunities, in our role as an integral part of the Munich Re Group. Great Lakes Insurance SE operates from its headquarters in Munich, and via branch offices in the UK, Ireland, Switzerland, Italy, and Australia.

Great Lakes Insurance UK Limited (“GLLS”), regulated by the Prudential Regulation Authority and the Financial Conduct Authority, is a fully owned subsidiary of Great Lakes Insurance SE and acts as the preferred facilitator of agency insurance business in the UK in the post-Brexit world.

About the role:

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. Successful candidates will have a proven track record of collaborating across team boundaries; experience with SQL, Power BI, and Azure DevOps (ADO); and familiarity with Databricks from a business user perspective.

Responsibilities

• 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 organization, working fluidly across teams and regions
• Help establish and embed repeatable standards/templates for requirements documentation across the wider Data & BI function

Requirements

• 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 organization
• 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 optimize 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)

Desired Qualifications and Educational Background

• 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

We Offer

• Competitive salary
• Opportunity to work in a dynamic and innovative environment
• Professional development opportunities
• Inclusive and diverse workplace

About the Company

At Munich Re, Diversity, Equity, and Inclusion foster innovation and resilience and enable us to act braver and better. Embracing the power of DEI is at the core of who we are. We recognize diversity can be multi-dimensional, intersectional, and complex, so we want to build a diverse workforce that includes a wide range of racial, ethnic, sexual, and gender identities; economic and geographic backgrounds; physical abilities; ages; life, school, and career experiences; and political, religious, and personal beliefs. Additionally, we are committed to building an equitable and inclusive work environment where this diversity is celebrated, valued, and has equitable opportunities to succeed.

If you are excited about this role but your experience does not align perfectly with everything outlined, or you don’t meet every requirement, we encourage you to apply anyway. You might just be the candidate we are looking for!