About this role
Salary: £55,000 - 95,000 per year
Requirements: Demonstrable data processing/handling and data analysis skillsProfessional experience in a Data Analyst roleSQL scripting, R, Python, Power BI, and advanced MS ExcelExperience with cloud-based data platforms such as Azure and DatabricksGit and version control practicesHigh level of numerical and analytical skillsStrong root cause analysis and problem-solving skills, with the ability to investigate and resolve complex data issues effectivelyUnderstanding of insurance/reinsurance businessDemonstrable 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 DataWork with our Lead Analysts to ensure data updates and delivery of LH1 Valuation DataTranslate and validate client dataProduce CLR-ready valuation portfolio dataProduce data analysis and reports for internal clients in the Valuation team regarding valuation portfolio dataDevelop, execute, and manage data transformation scripts to produce valuation portfolio dataPerform data cleansing, profiling, mapping, and mining of valuation portfolio dataSupport and deliver ad-hoc reporting needs for internal clients regarding valuation portfolio dataSupport business requirement gathering activities related to data and reporting needs, including wider process improvements and projectsEnsure client data used for valuation portfolio delivery is stored in a consistent format and in line with treaty arrangementsSupport and improve processes and tools used by the team in relation to valuation portfolio deliveryDetermine, monitor, and report the availability, quality, and consistency of client data used in valuation portfolio deliveriesLiaise with internal clients to understand data content, maximise business benefits, identify weaknesses, and work toward correctionGather, understand, and document detailed business requirements for data using appropriate tools and techniques, and ensure they are agreed at all levels throughout the businessManage own work priorities in a highly organised wayManage colleagues expectationsEnsure data used in various work streams is of good quality and up to dateWork independently or together with colleagues as appropriateProduce quality written and numerical material appropriate to purpose Technologies: AIAzureCloudDatabricksExcelGitSupportMachine LearningOraclePower BIPythonSQL 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 40 week of 2026