Job Description
Munich Re is the world’s leading reinsurance company with a commitment to innovation and diversity. As a Data Analyst in Reinsurance Operations, you will develop and optimize data workflows, ensure data integrity, and provide business insights through advanced analytics and collaboration with various teams. Responsibilities Design, build, and maintain automated workflows using enterprise workflow tools to translate diverse client and treaty data streams—including billings, inforce, and claims into standardized formats for downstream processing Analyze data structures and business needs to create accurate mapping, transformation, and validation rules Collaborate with business partners to implement, test, and refine workflow solutions, ensuring they meet stakeholder needs and reporting standards Continuously monitor workflow performance, proactively identify bottlenecks, inefficiencies, or data quality issues, and recommend or implement improvements Document workflow processes, logic, and changes to support audit readiness and knowledge transfer Ingest, validate and transform large volumes of client, treaty, and claims data from multiple sources, applying rigorous quality control checks and reconciliations for accounts payable and receivables Conduct root cause analysis for failed validations and implement corrective actions Maintain and update mapping to internal treaty databases, ensuring accuracy, completeness, and consistency of key data fields Support the implementation of data quality rules and controls, tracking and resolving data-quality issues in collaboration with business and technical teams Build and enhance reports and dashboards for treaty performance, premiums, claims, lapses, profitability, and KPIs Design and optimize SQL queries and data models to support recurring reporting cycles and ad-hoc analysis requests Perform deep-dive analyses on trends, anomalies, and variances, presenting findings and actionable recommendations to stakeholders and leadership team Leverage advanced analytics and, where possible, AI-driven methods to uncover insights, automate data extraction, and support decision-making Partner with actuarial and claims teams to support experience studies, scenario analysis, and profitability reviews Support enhancements and implementations of reinsurance administration, data warehouse, and BI platforms, participating in requirements gathering, data mapping, testing, and user training Support data migration and reconciliation activities when onboarding new treaties, products, or systems Identify and recommend process improvements, automation opportunities, and best practices for data translation workflows and operational efficiency Stay current with emerging technologies, including AI/ML, and advocate for their adoption to drive innovation and continuous improvement Collaborate with actuarial, underwriting, claims, finance, legal, and IT teams to resolve data issues, clarify requirements, and deliver business objectives Act as a subject-matter resource on data for assigned clients and work with internal teams and external partners on operational implications stemming from format and/or treaty changes Translate complex analytics into clear, actionable messages for technical and non-technical audiences Prepare and deliver presentations, documentation, and updates for management and external partners Support internal and external audits by providing clear documentation of treaty terms, processes, and data flows Explore and, where appropriate, integrate AI/ML tools and techniques to supplement data ingestion, translation, and insight generation Experiment with large language models (LLMs) and AI-powered APIs to automate data extraction, translation, and reporting tasks Apply predictive analytics, anomaly detection, and automated reconciliation to improve outcomes Skills Bachelor's degree in business, Finance, Actuarial Science, Data/Computer Science, Statistics, or related discipline Proficient with SQL and relational databases Strong Excel (pivot tables; Power Query/Power Pivot a plus) Experience with BI tools (Power BI, Tableau, etc.) Strong analytical skills; able to turn complex data into clear insights and recommendations Naturally curious—asks questions, digs deeper into trends, and seeks innovative solutions High attention to detail; disciplined approach to documentation, controls, and data quality Ability to connect contractual wording, operational processes, and data structures Clear communicator; collaborative, team-oriented mindset with ownership 1–2 years of experience in insurance/reinsurance data analysis, treaty administration, or reporting preferred Familiarity with reinsurance administration systems and/or data warehouse environments would be considered an asset Basic Python or R for analytics is a plus Exposure to AI/ML tools in a data context, such as: Using LLMs (large language models) to assist with data translation, document summarization, or insight generation Integrating AI services via APIs (e.g., anomaly detection, text extraction/classification) into data workflows Applying basic ML techniques (classification/regression/clustering) for operational or portfolio insights Benefits An engaging and collaborative environment that promotes continuous learning and development A hybrid work environment that combines weekly in-office and remote days with Meeting-Free lunch hours and Focus Friday afternoons A great compensation package including annual company bonus Market leading company-paid flexible health and dental benefits, starting on your first day Flexible dollars provided by the company to put towards Health Spending Account and/or Wellness Spending Account Immediate participation in DC Pension Plan with an automatic 5% employer contribution, plus optional company match Generous time off including vacation, personal days, unplanned time, Statutory Holidays and company-wide early closure half-days Learning and development programs and resources, including unlimited access to LinkedIn Learning, Education Assistance Program and reimbursement for professional fees Maternity, Parental & Adoption Leave top-up program Employee Referral Program, Recognition & Rewards Platform Company Overview Munich Re is an insurance company that provides reinsurance, insurance, and risk solutions.
It was founded in 1980, and is headquartered in Munich, Bayern, DEU, with a workforce of 10001+ employees. Its website is