Medasource

Healthcare Data Analyst III

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Healthcare Data Analyst III, a 6-month remote contract position requiring a Bachelor's degree in a related field, 3+ years of data analysis experience, proficiency in SQL and Alteryx, and familiarity with HEDIS and healthcare quality metrics.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
560
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πŸ—“οΈ - Date
November 20, 2025
πŸ•’ - Duration
More than 6 months
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🏝️ - Location
Remote
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
United States
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🧠 - Skills detailed
#Data Quality #Computer Science #Automation #Alteryx #Programming #Data Transformations #"ETL (Extract #Transform #Load)" #Data Engineering #Statistics #Visualization #Data Analysis #Alteryx Designer #SQL (Structured Query Language) #Data Architecture #Mathematics
Role description
Position: Quality Analyst III Client: Health Insurance Client Location: 100% Remote - EST Work Schedule Start Date: ASAP Contract Length: 6-month Contract Summary: The Quality Analyst III is responsible for analyzing, interpreting, and transforming complex healthcare data to support quality improvement initiatives across the organization. This role partners with cross-functional teams to deliver actionable insights, enhance reporting capabilities, and support payer quality programs such as HEDIS, Population Health, Pharmacy Quality, Health Equity, and Accreditation activities. Essential Functions: β€’ Develop and maintain comprehensive reports, dashboards, and visualizations that clearly summarize data and performance trends for key stakeholders. β€’ Review data for patterns, special-cause variation, and emerging trends; provide clear, concise summaries explaining key findings and operational implications. β€’ Provide technical guidance on SQL and Alteryx best practices, workflows, data transformations, and data source utilization. β€’ Interpret and maintain understanding of technical specifications and quality reporting requirements, ensuring timely implementation of updates and communication to relevant stakeholders. β€’ Collaborate closely with business partners to evaluate data patterns, investigate issues, and identify improvement opportunities. β€’ Gather, validate, and refine business requirements for analytics requests across HEDIS, Population Health, Pharmacy Quality, Accreditation, Health Equity, business development, and RFP initiatives. β€’ Partner with IT and data engineering teams to improve data collection, data quality, and reporting infrastructure. Education and Experience: β€’ Bachelor’s degree in MIS, Computer Science, Data Analytics, Public Health, or related field (or equivalent work experience) required. β€’ Master’s degree in Public Health (MPH), Business Administration (MBA), Statistics, Mathematics, or related field preferred. β€’ Minimum of three (3) years of experience in data analysis or analytic programming required. β€’ Minimum of three (3) years of experience with HEDIS or similar healthcare quality performance metrics required. β€’ 3–5 years of programming experience using SQL and analytic tools is required. β€’ Experience with Alteryx Designer (reporting, workflows, automation) required or strongly preferred. β€’ Experience in healthcare payer or clinical delivery settings preferred. Competencies, Knowledge, and Skills: β€’ Proficiency with Microsoft Office Suite (Excel, PowerPoint, Word). β€’ Strong analytical and complex problem-solving skills with the ability to address multi-dimensional business questions. β€’ Proficiency in SQL and Alteryx (workflow development, ETL processes, automation). β€’ Understanding of managed care principles, payer operations, and healthcare data structures. β€’ Strong written and verbal communication skills with an ability to present complex concepts to non-technical audiences. β€’ Ability to lead analytic initiatives and partner effectively across departments. β€’ Knowledge of healthcare coding standards and payer data sources. β€’ Familiarity with advanced data architecture and collaboration with IT/data engineering teams. β€’ Exposure to statistical concepts and methodologies preferred.