Senior Analyst, Health Care Quality Management

CVS Health

. Manage assigned healthcare analytics projects from requirements gathering through analysis, validation, interpretation, and presentation .

Posted 10/6/2026full-timeRemote • Oklahoma • United StatesSenior💰 $46,988 - $122,400 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in healthcare analytics, including data analysis, quality measurement, and reporting, with proficiency in Python and SQL for automation and data extraction. Capable of developing Power BI dashboards and conducting root cause analyses to drive quality improvement in healthcare settings.

Highest-signal resume keywords

Healthcare AnalyticsPower BI Dashboard DevelopmentSQL Query WritingPython AutomationRoot Cause Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisQuality MeasurementReportingHEDIS KnowledgeSQLPythonMicrosoft ExcelData ValidationStatistical AnalysisData Modeling

Soft Skills

Effective CommunicationAttention to DetailPrioritizationProblem SolvingCollaboration

Tools & Technologies

Power BIGitHub CopilotAI-Assisted Development ToolsData Visualization ToolsHealthcare Data Systems

Certifications & Qualifications

Health Informatics CertificationData Science CertificationAnalytics CertificationStatistics CertificationPublic Health Certification

Industry Keywords

Population Health AnalyticsQuality Performance ImprovementEPSDTMedicaidManaged CareHealthcare Performance ReportingCare-Gap IdentificationData Quality ControlsConfidential Healthcare DataQuality Management Programs

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Manage assigned healthcare analytics projects from requirements gathering through analysis, validation, interpretation, and presentation
Develop, test, document, and support Python-based automation and analytical workflows
Write and troubleshoot SQL queries for healthcare data extraction, analysis, validation, reporting, and issue investigation
Build, maintain, and enhance Power BI dashboards, scorecards, and reports
Integrate, validate, and analyze medical and pharmacy claims, member enrollment, provider, clinical, laboratory, HEDIS, Stars, EPSDT, and population health datasets
Conduct quantitative and root cause analyses to identify performance drivers, data issues, care gaps, process breakdowns, and quality improvement opportunities
Evaluate population health interventions, member outreach, provider engagement, Quality Performance Improvement Projects, EPSDT initiatives, and other Quality Management programs
Ensure accuracy, completeness, quality, and integrity of analytical outputs through validation, reconciliation, documentation, and review
Use AI-assisted development tools, including GitHub Copilot or comparable solutions, while following privacy, security, and governance requirements
Collaborate with Quality Management, clinical, provider, operations, informatics, engineering, and reporting teams
Communicate findings, risks, limitations, and recommendations through written deliverables, data visualizations, and presentations
Complete recurring and ad hoc reporting deliverables; support data-quality investigations, audits, and special projects
Contribute to continuous improvement of team methods, documentation, analytical practices, and quality controls

Requirements

What you’ll need

1-2 years of experience in healthcare analytics, quality measurement, data analysis, business intelligence, reporting, or a related field; relevant internship or project experience may be considered
Knowledge of HEDIS, Medicaid Stars, quality measurement, care-gap identification, or healthcare performance reporting
Experience building or supporting Power BI reports or dashboards
Strong Microsoft Excel skills
Ability to perform root cause analysis, manage priorities, and deliver accurate results with increasing independence
Effective written and verbal communication skills
Attention to detail
Ability to safeguard confidential healthcare data
Associate degree, vocational training, or certification in health informatics, data science, analytics, statistics, computer science, public health, healthcare administration, business, or a related field; or an equivalent combination of education and relevant experience
Preferred: Experience using AI-assisted development tools such as GitHub Copilot
Preferred: Experience or knowledge in population health analytics, Quality Performance Improvement Projects, EPSDT, Medicaid, managed care, HEDIS, or Stars
Preferred: Knowledge of relational databases, data modeling, version control, data-quality controls, or automated validation
Preferred: Working proficiency in SQL and some experience using Python for data analysis, automation, or scripting

Benefits

Comp & perks

Medical coverage
Dental coverage
Vision coverage
Paid time off
Retirement savings options
Wellness programs
Other resources supporting physical, emotional, and financial well-being
CVS Health bonus, commission or short-term incentive program eligibility