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Company
Munich Re America Services
Location
Princeton , United States

The Data and Analytics division (DAA) is dedicated to data asset creation, data engineering, and data analytics. We shape and coordinate Munich Re’s agenda in these fields to take advantage of the growing opportunities provided by data and analytics. Our goal is to enable new and better business via data-centric solutions and to create new strategic opportunities through data and analytics excellence.

The Data Assests team (DAA1.1) is the driver of Munich Re's data agenda and the key partner for services around data and data product. We strategically invest in the creation of data assets, source external data, and together with Business and Central Units, build accessible high quality data products. At the exciting forefront of the digital transformation and the rapidly growing importance of data, it is our mission to enable the organization to generate additional bottom-line results by leveraging the power of data.

The Data Assets Team is based out of Munich and the US and works with internal and external partners across the globe. The team closely liaises and jointly drives projects with all business units and central units like Corporate Underwriting and Corporate Claims. To grow the team, we are looking for someone with an entrepreneurial and/or product mindset, who is curious, committed, and excited about shaping the future of Munich Re in the role of a “Data Researcher”. This position focuses on Munich Re’s North American businesses but would collaborate on global topics also.

YOUR JOB

• Drive Munich Re´s data strategy by supporting the creation of valuable, accessible and trustful data products primarily in North America
• Work closely together with business, central, and innovation teams in Reinsurance, US Specialty Lines and Life & Health to understand data requirements and identify and shape the most promising use cases
• Work in cross functional data product teams in close collaboration with business and data engineering resources
• Support in identifying the necessary data sources and prepare the decision on the best data sourcing strategy
• Facilitate synergies/cost sharing between business units by connecting similar use cases to leverage learnings

YOUR PROFILE

• Understanding of the US insurance market for 3+ years
• Proven project experience in an agile setup for 3+ years
• Strong proficiency in technical data handling, e.g., writing SQL or Python scripts to manipulate data for 3+ years
• Entrepreneurial and customer-centric mindset and ability to develop strategic targets and conceptually transform requirements into solutions
• Integrative personality, strong in building and maintaining relationships (internally and externally)
• Drive and dedication, as well as creativity and hands-on attitude to initiate and execute use cases (“getting things done”)
• Excellent ability to communicate to both technical and non-technical communities to ensure data uses and limitations are well understood and will provide substantive business value