• Participate in multiple simultaneous projects with a focus on preparing and understanding data needed for predictive modeling and machine learning projects • Data interrogation, exploratory data analysis, profiling, and reconciliation • Dataset creation and revision based on product manager and data scientist/actuarial input • Data harmonization across multiple customers • Feature creation and initial testing • Data reporting • Work collaboratively with other staff including product managers, data scientists, other data analysts, architects to solve problems • Research data issues and drive understanding of how data is created and updated from both ClaimCenter and PolicyCenter configurations • Create and manage data assets, data harmonization, and code with a focus on simplicity, scalability, reusability, and clear documentation