• Collaborate with claims and stop loss operations teams to understand analytics and reporting needs that drive efficiency and scalability. • Scope, gather, and structure requirements into actionable opportunities and solutions. • Extract, manipulate, and analyze large datasets from claims databases using SQL or similar querying languages. • Translate data into actionable insights and strategic recommendations that inform process improvements, resourcing decisions, and operational priorities. • Develop models and algorithms to identify trends, anomalies, root causes of inefficiencies and areas for operational improvement. • Design and maintain scalable dashboards and reports using tools like Tableau, Power BI, or similar platforms. • Create and monitor productivity and performance metrics to assess and enhance departmental efficiency. • Present findings to operations leadership with clear narratives that tie analytics to business outcomes. • Serve as a technical liaison between claims operations and the core data team to ensure accuracy and quality in analytics. • Develop and maintain SLA reporting to ensure claims operations meet and exceed client expectations. • Proactively identify and recommend areas for automation, workflow enhancements, and optimization across the claims lifecycle. • Ensure data integrity and accuracy across all analyses.