Senior Healthcare Data Analyst

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. Independently lead complex healthcare analyses from business questions through recommendation .

Posted 11/10/2026full-timeRemote • Illinois • United StatesSenior💰 $100,000 - $112,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in healthcare analytics, utilizing advanced SQL, R, and Python for statistical analysis and predictive modeling. Proven ability to lead complex analyses, communicate findings effectively, and collaborate with cross-functional teams to drive performance improvements.

Highest-signal resume keywords

Advanced SQL ProficiencyHealthcare Analytics ExperienceStatistical Analysis Using R/PythonMedicare Advantage KnowledgeStrong Communication Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical AnalysisPredictive ModelingCohort StudiesComparative AnalysesData TransformationAnalytical MethodologiesHealthcare Claims AnalysisRisk Adjustment TechniquesProgram EvaluationData Governance

Soft Skills

Project ManagementStakeholder CommunicationAnalytical Problem SolvingCollaborationPresentation Skills

Tools & Technologies

SQLRPythonPower BITableau

Industry Keywords

Medicare AdvantagePopulation Health AnalyticsProvider PerformanceHEDISStars

Tech Stack

Tools & technologies

PythonSQLTableau

About the role

Key responsibilities & impact

Independently lead complex healthcare analyses from business questions through recommendation
Analyze medical, pharmacy, eligibility, provider, and member data to identify trends, opportunities, and drivers of performance
Design and execute analyses evaluating clinical, operational, provider, and member engagement programs
Develop statistically sound comparisons, cohorts, and methodologies to assess outcomes and effectiveness
Identify cost, utilization, quality, risk adjustment, and population health improvement opportunities
Validate analytical results and communicate data limitations, assumptions, and uncertainty
Extract, transform, and analyze large healthcare datasets using SQL
Use R and/or Python for statistical analyses, predictive modeling, and data exploration
Develop reusable analytical frameworks and methodologies
Partner with Data Engineering and Business Intelligence teams to improve data quality, documentation, and reporting
Ensure analytical integrity through governance and validation standards
Collaborate with leaders across Clinical Operations, Population Health, Provider Performance, Finance, Compliance, Quality, and Executive Leadership
Translate ambiguous business questions into structured analytical approaches
Provide project updates regarding status, timelines, assumptions, dependencies, and risks
Present findings and recommendations in a clear, concise, executive-ready manner
Serve as a trusted analytical advisor and thought partner to business stakeholders
Recommend new approaches, methodologies, and analytical techniques
Stay current on healthcare analytics best practices, Medicare Advantage performance metrics, and emerging analytical tools
Contribute to scalable analytical capabilities across the Enterprise Reporting & Analytics team

Requirements

What you’ll need

Bachelor's degree in Statistics, Mathematics, Economics, Data Science, Public Health, Healthcare Informatics, Computer Science, or a related quantitative field
Medicare Advantage experience
Five or more years of experience in healthcare analytics, medical economics, population health analytics, provider analytics, or related analytical roles
Advanced SQL proficiency, including complex joins, window functions, and performance optimization
Experience using R and/or Python for statistical analysis and data modeling
Strong understanding of healthcare claims, eligibility, pharmacy, and provider data
Experience designing and interpreting comparative analyses, cohort studies, and program evaluations
Proven ability to independently manage analytical projects from inception through stakeholder presentation
Strong written and verbal communication skills
Ability to explain complex analytical findings to non-technical audiences
Experience with Stars, HEDIS, Risk Adjustment, or Provider Performance
Knowledge of causal inference, predictive modeling, regression techniques, or experimental design
Experience with Power BI, Tableau, or other analytical visualization tools
Advanced degree in Statistics, Economics, Public Health, Data Science, Biostatistics, or related discipline