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 https://www.munichre.com.
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