Medical Economics Data Analyst III Healthcare Analytics

You could be the one who changes everything for our 28 million members. Centene is transforming the health of our communities, one person at a time. As a diversified, national organization, you’ll have access to competitive benefits including a fresh perspective on workplace flexibility.
 

Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. Sponsorship and future sponsorship are not available for this opportunity, including employment-based visa types H-1B, L-1, O-1, H-1B1, F-1, J-1, OPT, or CPT.

Position Purpose: 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. In this role, the analyst transforms 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, to 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, where appropriate, 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.

Education/Experience: Bachelor’s degree in business, economics, statistics, mathematics, actuarial science, public health, health informatics, healthcare administration, finance or related field or equivalent experience. Master's degree preferred. 4+ years of experience working with large databases, data verification, and data management experience. Healthcare analytics experience preferred. Working knowledge of SQL/querying languages. Preferred knowledge of programmatic coding languages such as Python and R. Knowledge of statistical, analytical, or data mining techniques including basic data modeling, trend analysis, and root-cause analysis preferred. Preferred knowledge of modern business intelligence and visualization tools including Microsoft Power BI. Driver decomposition and root cause analysis str