• Analyze large-scale PBM datasets including pharmacy claims, eligibility, formulary, utilization, rebate, and pricing data. • Support executive, clinical, and operational decision-making through data-driven recommendations. • Design, develop, and optimize analytics solutions using Google BigQuery, Cloud Storage, and GCP-native tools. • Build and maintain performant SQL queries, views, and datasets for PBM performance, KPIs, and regulatory reporting. • Ensure data quality, integrity, and compliance across cloud-based data pipelines. • Develop and maintain Power Apps. • Utilize Power Automate to streamline workflows and data refresh processes. • Collaborate on Power Apps solutions to support operational and analytical use cases. • Work closely with operations, finance, clinical teams, compliance, and IT. • Partner with data engineering teams to optimize data ingestion and modeling strategies. • Translate business requirements into technical and analytical solutions. • Present complex analytical findings in clear, actionable formats to non-technical audiences. • Document data definitions, metrics, and business logic to support transparency and audit readiness.