Data Analyst III Medical Economics

The Data Analyst III –Medical Economics is responsible for transforming complex healthcare data into actionable insights that drive improved clinical outcomes and reduced cost of care. This role partners cross-functionally to support strategic, operational, and financial decision-making through advanced analytics, reporting, and data modeling.   Core Competency Areas (Skills Taxonomy Tags) 1. Data Analytics & Quantitative Analysis Tags: Data Analysis, Statistical Analysis, Data Mining, Trend Analysis, Root-Cause Analysis, Predictive Modeling, Quantitative Methods Analyze large, integrated healthcare datasets (claims, provider, member, encounter data) Identify trends, cost drivers, utilization patterns, and business impact Apply statistical and quantitative methodologies to generate actionable insights Perform root-cause analysis on data discrepancies and anomalies Support ROI evaluation and emerging trend analysis 2. Healthcare & Medical Economics Domain Expertise Tags: Healthcare Analytics, Medical Economics, Claims Analysis, Risk Adjustment, Utilization Management, Network Analysis, Contract Analysis Interpret healthcare claims payment data and reimbursement structures Analyze provider/vendor contracts and pricing models Support financial modeling and cost-of-care optimization initiatives Evaluate utilization management strategies Apply knowledge of healthcare risk adjustment and reimbursement methodologies 3. Data Management & Technical Skills Tags: SQL, Data Querying, Data Validation, Data Governance, ETL, Data Quality Assurance, Automation Build, maintain, and troubleshoot SQL scripts and reports Perform data validation and verification processes Manage large datasets with strong attention to data integrity Identify and implement automation opportunities Support scalable analytics initiatives Preferred Technical Skills: Python R Power BI Advanced Excel 4. Business Intelligence & Visualization Tags: Business Intelligence (BI), Data Visualization, Dashboard Development, Reporting Automation, Stakeholder Reporting Develop and maintain dashboards and reports Present insights through clear visual storytelling Translate complex analysis into business-friendly recommendations Support executive-level reporting and strategic initiatives 5. Collaboration & Stakeholder Engagement Tags: Cross-Functional Collaboration, Requirements Gathering, Business Analysis, Stakeholder Communication, Presentation Skills Partner with clinical, operational, financial, and IT teams Gather and define business requirements Independently engage internal and external stakeholders Present findings and incorporate feedback Align analytics outputs to business value 6. Leadership & Project Management Tags: Project Ownership, Time Management, Prioritization, Mentorship, Technical Leadership Manage multiple priorities in a fast-paced environment Take ownership of end-to-end analytics projects Provide technical guidance and mentorship to junior analysts Contribute to large-scale enterprise analytics initiatives with increasing autonomy   Minimum Qualifications Education Bachelor’s degree in Business, Economics, Statistics, Mathematics, Public Health, Health Informatics, Finance, or related field (or equivalent experience) Master’s degree preferred Experience 4+ years of experience working with large datasets, data management, and analytics OR 2+ years of relevant IT experience Required Skills Strong SQL proficiency Experience with large-scale data analysis Data validation and quality assurance experience Preferred Skills Healthcare analytics experience Python or R proficiency Power BI or similar BI tools Financial modeling and cost analysis experience   Ideal Candidate Profile A data-driven problem solver who: Thinks critically and asks strategic questions Connects data insights to real-world healthcare outcomes Communicates clearly with both technical and non-technical audiences Thrives in a collaborative, fast-moving environment Seeks opportunities to improve processes through automation and innovation