Associate Data Product Analyst collaborating with stakeholders to develop tactical data products and analyze trends for Life & Health Reinsurance. Engaging with data mapping, integration, and visualization software.
Responsibilities
Collaborating with cross-functional stakeholders, such as Technical Accounting, Experience Studies, Valuation, and Inforce Optimization, to gather and document product requirements
Translate product requirements into clear and actionable user stories or product specifications
Develop and implement tactical data products using available tools and support user onboarding
Prepare reports and presentations to communicate findings, insights, and recommendations
Develop and maintain key metrics to measure product success
Analyze data to identify trends and patterns that can inform product decisions
Understand L&H Re systems and processes to advise and assist IT in system enhancements and migrating tactical products into strategic ones
Design, map, and code complex and unique client data setups
Requirements
Bachelor of Science degree with 3 + years of relevant experience
Proficient in data mapping, ETL processing, and data integration
Proficient in SQL, Python/R coding
Good understanding of relational databases, such as Oracle and SQL Server
Experience in handling large volumes of structured and unstructured data
Experience working in Waterfall and Agile projects, while leading projects being a plus
Hands-on experience with Data Integration tools (e.g. Palantir) and techniques (e.g. EDA, predictive & prescriptive analysis), and visualization software such as Power BI
Proven strategic, analytical, and conceptual thinking abilities
Effective communication skills, with the ability to present complex data and insights to stakeholders clearly and concisely.
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