About this role
About the role:
In this role, your key business responsibilities will include:
- Translate business requirements into effective data mapping solutions
- Develop sophisticated data transformation processes using ETL, Python, SQL, and other tools to deliver high-quality data for Life & Health stakeholders
- Design and execute test cases to validate data transformations, resolving discrepancies to ensure data integrity
- Perform rigorous data quality checks to ensure reliable data ingestion and consumption
- Analyze large, complex datasets to identify trends and support strategic business decisions
- Recommend and implement solutions for business challenges, including process improvements, system enhancements, or user training
- Serve as a liaison between business stakeholders and data experts, leading data-driven projects
- Conduct ad hoc analyses to address specific business questions or support new initiatives
- Collaborate with peers to apply advanced analytics and automate smart business decisions
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's degree in computer science with 5+ years of relevant experience in US Corporation (outside of internships and school projects)
- Excellent communication skills with the ability to present complex data and insights clearly to stakeholders
- Strong skills in data mapping, ETL processing, and data integration
- Proficiency in SQL and Python, with experience working with relational databases
- Experience working with large volumes of structured and unstructured data
- Familiarity with best practices of data management and governance
- Proven strategic, analytical, and conceptual thinking abilities
- Effective communication skills, with the ability to present complex data and insights to stakeholders clearly and concisely
These are additional nice to have:
- Experience with large language models (LLMs) and AI-assisted analytics for insight generation
- Data visualization skills and experience with tools like Tableau or Power BI
- Knowledge of Life & Health Reinsurance
- Experience with agile methodologies and project management
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.
Reference Code: 136479
Other facts
About Swiss Re
The Swiss Re Group is a leading wholesale provider of reinsurance, insurance and other insurance-based forms of risk transfer. Dealing direct and working through brokers, its global client base consists of insurance companies, mid-to-large-sized corporations and public sector clients. From standard products to tailor-made coverage across all lines of business, Swiss Re deploys its capital strength, expertise and innovation power to enable the risk taking upon which enterprise and progress in society depend.
Founded in Zurich, Switzerland, in 1863, Swiss Re serves clients through a network of over 70 offices globally and is rated "AA-" by Standard & Poor's, "Aa3" by Moody's and "A+" by A.M. Best. Registered shares in the Swiss Re Group holding company, Swiss Re Ltd, are listed in accordance with the Main Standard on the SIX Swiss Exchange and trade under the symbol SREN.
We're smarter together.
For more information about Swiss Re Group, please visit: www.swissre.com, follow us on X @SwissRe and subscribe our YouTube channel @swissretv.
What you'll do
- The Data Analyst will translate business requirements into data mapping solutions and develop data transformation processes using ETL, Python, and SQL. They will also analyze complex datasets to support strategic business decisions and serve as a liaison between stakeholders and data experts.
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