• Analyze integrated and extensive datasets to extract value, which directly impacts and influences business decisions • Work collaboratively with key business stakeholders to identify areas of value, develop solutions, and deliver insights to reduce overall cost of care for members and improve their clinical outcomes • Transform complex healthcare data into meaningful insights by evaluating large, integrated datasets to understand medical cost and utilization trends • Identify underlying drivers of performance changes, and translate findings into clear, actionable recommendations that support strategic and financial decision-making • Lead and contribute to complex analytical investigations across large healthcare datasets, including medical and pharmacy claims, provider, member, and encounter data • Surface actionable insights related to cost, utilization, quality, and operational performance • Independently scope and structure ambiguous analytical questions, applying structured analytical frameworks to explain drivers such as population shifts, utilization patterns, service mix changes, and unit cost variation • Translate analytical findings into clear, compelling narratives for senior, operational, and clinical stakeholders, enabling informed decision-making and business action • Leverage emerging technologies, including Generative AI tools to enhance productivity and analytical workflows (experience preferred but not required) • Interpret and analyze data from multiple sources including large-scale medical and pharmacy claims, provider, member, and encounters data • Identify and assess the business impact of trends, emerging risks, and performance changes • Develop, maintain, and troubleshoot complex scripts and reports developed using SQL, Microsoft Excel, or other analytics tools • Contribute to the planning and execution of large-scale projects with limited direction from leadership • Identify and perform end-to-end root cause analysis on cost, utilization, and performance movements, data irregularities, anomalies, and emerging patterns, and present findings and proposed solutions to leadership and/or customers • Manage multiple, variable tasks and data review processes with limited supervision within targeted timelines and thrive in a demanding, quickly changing environment • Demonstrate a sense of ownership over projects and ask probing questions to understand the business value of tasks • Apply expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how customers interact with analytic products • Partner cross-functionally at all levels of the organization and effectively, both verbally and visually, communicate findings and insights to non-technical business partners • Independently engage with customers and business partners to gather requirements and validate results • Communicate and present data-driven insights and recommendations to both internal and external stakeholders, translating complex findings into clear, decision-ready insights that articulate the “what,” “why,” and “so what,” soliciting and incorporating feedback when required • Provide technical guidance to junior analysts