About the role

Associate Data Product Analyst

Location: Bangalore

Workmode: Hybrid (3 days WFO)

About the role:

In this role, your key business responsibilities will include:

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.

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 [L&H Re]. Their mission is to make client data accessible to stakeholders by systematically acquiring and ingesting it. The team utilizes advanced analytics techniques to generate valuable insights for L&H Re. With a continuous improvement mindset, they strive to enhance data, systems, and processes for both their own use and their stakeholders.

About you:

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.

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. If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience.