Data Analyst, Reinsurance Operations

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.ResponsibilitiesDesign, 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 processingAnalyze data structures and business needs to create accurate mapping, transformation, and validation rulesCollaborate with business partners to implement, test, and refine workflow solutions, ensuring they meet stakeholder needs and reporting standardsContinuously monitor workflow performance, proactively identify bottlenecks, inefficiencies, or data quality issues, and recommend or implement improvementsDocument workflow processes, logic, and changes to support audit readiness and knowledge transferIngest, 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 receivablesConduct root cause analysis for failed validations and implement corrective actionsMaintain and update mapping to internal treaty databases, ensuring accuracy, completeness, and consistency of key data fieldsSupport the implementation of data quality rules and controls, tracking and resolving data-quality issues in collaboration with business and technical teamsBuild and enhance reports and dashboards for treaty performance, premiums, claims, lapses, profitability, and KPIsDesign and optimize SQL queries and data models to support recurring reporting cycles and ad-hoc analysis requestsPerform deep-dive analyses on trends, anomalies, and variances, presenting findings and actionable recommendations to stakeholders and leadership teamLeverage advanced analytics and, where possible, AI-driven methods to uncover insights, automate data extraction, and support decision-makingPartner with actuarial and claims teams to support experience studies, scenario analysis, and profitability reviewsSupport enhancements and implementations of reinsurance administration, data warehouse, and BI platforms, participating in requirements gathering, data mapping, testing, and user trainingSupport data migration and reconciliation activities when onboarding new treaties, products, or systemsIdentify and recommend process improvements, automation opportunities, and best practices for data translation workflows and operational efficiencyStay current with emerging technologies, including AI/ML, and advocate for their adoption to drive innovation and continuous improvementCollaborate with actuarial, underwriting, claims, finance, legal, and IT teams to resolve data issues, clarify requirements, and deliver business objectivesAct 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 changesTranslate complex analytics into clear, actionable messages for technical and non-technical audiencesPrepare and deliver presentations, documentation, and updates for management and external partnersSupport internal and external audits by providing clear documentation of treaty terms, processes, and data flowsExplore and, where appropriate, integrate AI/ML tools and techniques to supplement data ingestion, translation, and insight generationExperiment with large language models (LLMs) and AI-powered APIs to automate data extraction, translation, and reporting tasksApply predictive analytics, anomaly detection, and automated reconciliation to improve outcomesSkillsBachelor's degree in business, Finance, Actuarial Science, Data/Computer Science, Statistics, or related disciplineProficient with SQL and relational databasesStrong 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 recommendationsNaturally curious—asks questions, digs deeper into trends, and seeks innovative solutionsHigh attention to detail; disciplined approach to documentation, controls, and data qualityAbility to connect contractual wording, operational processes, and data structuresClear communicator; collaborative, team-oriented mindset with ownership1–2 years of experience in insurance/reinsurance data analysis, treaty administration, or reporting preferredFamiliarity with reinsurance administration systems and/or data warehouse environments would be considered an assetBasic Python or R for analytics is a plusExposure to AI/ML tools in a data context, such as:Using LLMs (large language models) to assist with data translation, document summarization, or insight generationIntegrating AI services via APIs (e.g., anomaly detection, text extraction/classification) into data workflowsApplying basic ML techniques (classification/regression/clustering) for operational or portfolio insightsBenefitsAn engaging and collaborative environment that promotes continuous learning and developmentA hybrid work environment that combines weekly in-office and remote days with Meeting-Free lunch hours and Focus Friday afternoonsA great compensation package including annual company bonusMarket leading company-paid flexible health and dental benefits, starting on your first dayFlexible dollars provided by the company to put towards Health Spending Account and/or Wellness Spending AccountImmediate participation in DC Pension Plan with an automatic 5% employer contribution, plus optional company matchGenerous time off including vacation, personal days, unplanned time, Statutory Holidays and company-wide early closure half-daysLearning and development programs and resources, including unlimited access to LinkedIn Learning, Education Assistance Program and reimbursement for professional feesMaternity, Parental & Adoption Leave top-up programEmployee Referral Program, Recognition & Rewards PlatformCompany OverviewMunich 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 https://www.munichre.com.



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