In this role, your key business responsibilities will include:
Translate business requirements into effective data mapping/ingestion 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 Client Data Management [CDM] 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 3 to 5 years of relevant experience
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
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