Data Product Analyst

Bengaluru, KA, IN

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About the Team:


The Data Management & Insights [DMI] team is part of Business Excellence delivering on the promise of a stable end-to-end operating platform for Life & Health Reinsurance. The DMI team's mission is to make data accessible to stakeholders by acquiring and ingesting client data systematically through our systems. The team also utilizes advance analytics techniques to create insights that generate additional value for L&H (Life & Health) Re. The team operates with a continuous improvement mindset to make data, systems, and processes better not only for their own use but also for their stakeholders.


About the Role:


In this role you will have the following key business responsibilities:

  • Design, map, code, and test onboarding of client datasets
  • Perform data quality checks during data ingestion to ensure that end users can use the client data with minimal downstream enrichments
  • Collaborate with cross-functional teams to identify opportunities to optimize business processes
  • Analyze and determine best path for solving business opportunities/issues which may include process improvements, application/system enhancements and/or end-user training
  • Conduct data analysis to answer specific business questions or to support new initiatives


About You:


  • Bachelor of Science degree with 5+ years of relevant experience
  • Proficient in data mapping, ETL processing, and data integration
  • Experience in SQL and Python coding
  • Good understanding of relational databases (Oracle, SQL Server etc.)
  • Proven strategic, analytical, and conceptual thinking
  • Effective communication skills, and the ability to present complex data and insights to stakeholders clearly and concisely
  • Intermediate level experience in SAS coding is a plus


About Swiss Re


Swiss Re is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. We cover both Property & Casualty and Life & Health. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 14,000 employees across the world.

Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability.



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Reference Code: 130049 






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Tags: Data analysis Data management Data quality ETL Oracle Python RDBMS SAS SQL

Perks/benefits: Flex hours

Region: Asia/Pacific
Country: India

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