Medical Economics Data Analyst III – Healthcare Analytics

Role Overview

• 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

Requirements

• 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 strongly preferred

Tech Stack

• Python
• SQL

Benefits

• competitive pay
• health insurance
• 401K and stock purchase plans
• tuition reimbursement
• paid time off plus holidays
• flexible approach to work with remote, hybrid, field or office work schedules