Data Analyst

Salary: £55,000 - 95,000 per year

Requirements:

• Demonstrable data processing/handling and data analysis skills
• Professional experience in a Data Analyst role
• SQL scripting, R, Python, Power BI, and advanced MS Excel
• Experience with cloud-based data platforms such as Azure and Databricks
• Git and version control practices
• High level of numerical and analytical skills
• Strong root cause analysis and problem-solving skills, with the ability to investigate and resolve complex data issues effectively
• Understanding of insurance/reinsurance business
• Demonstrable experience working with relational databases (Oracle, SQL, etc.)
• Knowledge of data science, including machine learning, statistical analysis, and AI tools

Responsibilities:

• Work within our UK Data Management Team, specifically responsible for LH1 Valuation Data
• Work with our Lead Analysts to ensure data updates and delivery of LH1 Valuation Data
• Translate and validate client data
• Produce CLR-ready valuation portfolio data
• Produce data analysis and reports for internal clients in the Valuation team regarding valuation portfolio data
• Develop, execute, and manage data transformation scripts to produce valuation portfolio data
• Perform data cleansing, profiling, mapping, and mining of valuation portfolio data
• Support and deliver ad-hoc reporting needs for internal clients regarding valuation portfolio data
• Support business requirement gathering activities related to data and reporting needs, including wider process improvements and projects
• Ensure client data used for valuation portfolio delivery is stored in a consistent format and in line with treaty arrangements
• Support and improve processes and tools used by the team in relation to valuation portfolio delivery
• Determine, monitor, and report the availability, quality, and consistency of client data used in valuation portfolio deliveries
• Liaise with internal clients to understand data content, maximise business benefits, identify weaknesses, and work toward correction
• Gather, understand, and document detailed business requirements for data using appropriate tools and techniques, and ensure they are agreed at all levels throughout the business
• Manage own work priorities in a highly organised way
• Manage colleagues expectations
• Ensure data used in various work streams is of good quality and up to date
• Work independently or together with colleagues as appropriate
• Produce quality written and numerical material appropriate to purpose

Technologies:

• AI
• Azure
• Cloud
• Databricks
• Excel
• Git
• Support
• Machine Learning
• Oracle
• Power BI
• Python
• SQL

More:

We are Munich Re, and our UK & Ireland Life business is part of our Life 1 division, operating in the highly competitive UK life market from our office in Munich. We support life insurers facing changing risk landscapes, laws, and regulations with our financial strength, global expertise, and sharp pricing. Our strategy is built around protection, longevity, and reinsurance structuring, and we value diversity, equity, and inclusion as core to how we work. We encourage candidates to apply even if their experience does not align perfectly, and we support reasonable adjustments during the recruitment process.

last updated 36 week of 2026