Business Analyst

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