Business Analyst
Swiss Re
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Job Description
About the role:
In this role, your key business responsibilities will include:
- Translate business requirementsinto effective data mapping solutions
- Develop sophisticated data transformation processesusing ETL, Python, SQL, and other tools to deliver high-quality data for Life & Health stakeholders
- Design and execute test casesto validate data transformations, resolving discrepancies to ensure data integrity
- Perform rigorous data quality checksto ensure reliable data ingestion and consumption
- Analyze large, complex datasetsto identify trends and support strategic business decisions
- Recommend and implement solutionsfor business challenges, including process improvements, system enhancements, or user training
- Serve as a liaisonbetween business stakeholders and data experts, leading data-driven projects
- Conduct ad hoc analysesto address specific business questions or support new initiatives
- Collaborate with peersto 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 with5+ yearsof 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 indata mapping,ETLprocessing, anddata 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
We may use AI-powered tools to support the review and evaluation of applications for this position. These tools provide additional insights to our recruitment teams, but all hiring decisions are carefully reviewed and made by people. To learn more about how we use AI in recruitment and how we handle your personal data, please review our Data Privacy Statement before applying.
Reference Code:137991
About The Company
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.
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