Associate Business Analyst

About the role

In this role, your key business responsibilities will include:

• Translate business requirementsinto effective data mapping/ingestion 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 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 with3 to 5 yearsof relevant experience
• 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