data analyst in life reinsurance

Munich Re is a global reinsurer. Its UK & Ireland Life business focuses on protection, longevity, and reinsurance structuring, helping life insurers remain competitive and profitable in a dynamic market shaped by medical, demographic, regulatory, and lifestyle changes.

• Develop, execute, and manage data transformation scripts to produce valuation portfolio data;
• Cleanse, profile, map, and mine valuation portfolio data;
• Support and deliver ad-hoc reporting for internal clients regarding valuation portfolio data;
• Support business requirements gathering related to valuation data, reporting needs, and wider process improvement projects;
• Ensure client data used for valuation portfolio delivery is stored consistently and aligned with treaty arrangements;
• Support and improve team processes and tools related to valuation portfolio delivery;
• Determine, monitor, and report the availability, quality, and consistency of client data;
• Liaise with internal clients to understand data content, maximise business benefits, identify weaknesses, and support corrective actions;
• Gather, understand, and document detailed data business requirements using appropriate tools and techniques;
• Manage own work priorities and colleagues’ expectations;
• Ensure data used across workstreams is accurate and up to date;
• Work independently or collaboratively as appropriate;
• Produce high-quality written and numerical materials suited to their purpose;
• Ensure compliance with Munich Re’s Code of Conduct.

• Demonstrable data processing, data handling, and data analysis skills;
• Professional experience in a Data Analyst role;
• SQL scripting, R, Python, Power BI, and advanced MS Excel skills;
• Experience with cloud-based data platforms such as Azure and Databricks;
• Knowledge of Git and version control practices;
• High numerical and analytical ability;
• Strong root cause analysis and problem-solving skills, with the ability to investigate and resolve complex data issues;
• Ability to plan and prioritise work against deadlines and longer-term commitments;
• Ability to collaborate with others and communicate effectively;
• Inclusive behaviour and respectful collaboration with colleagues, sales, and business partners;
• Nice to have: understanding of insurance or reinsurance business, experience with relational databases such as Oracle and SQL, knowledge of data science including machine learning, statistical analysis, and AI tools.

• No conditions specified