The Cigna GroupRemote
Healthcare Data Analyst - Value Based Care - Remote
United States of America
Full Time
1 week ago
$108,000 - $180,000 USD
Visa Sponsor
Key skills
Healthcare data analysisMedical claims dataClinical dataPharmacy dataEligibility dataSQLSASRPythonStatistical methodsRegressionConfidence intervalsPower analysisModel validationValue-based care modelsACOEpisodesBundled paymentsFinancial modelingTableauAnalyticsCommunication
About this role
The Cigna Group is dedicated to improving the health and vitality of those they serve. They are seeking a Healthcare Data Analyst to shape value-based care programs by transforming complex health data into actionable insights, collaborating with clinicians and business leaders to enhance healthcare outcomes.
Responsibilities:
- Shape value-based care programs by translating complex data into clear insights that support affordability, quality, and improved outcomes
- Lead advanced analytics and exploratory studies to uncover trends, identify root causes, and highlight new opportunities across healthcare and specialty care data
- Evaluate pilots and initiatives using strong statistical methods, enabling confident, data-driven decisions and program improvements
- Develop and maintain financial and analytic models that support program design, forecasting, and performance tracking
- Partner cross-functionally with clinical, business, and technical teams to embed analytics into tools, workflows, and decision-making processes
- Communicate insights with clarity and impact, helping non-technical stakeholders understand key findings and take action
- Continuously improve analytic approaches, seeking new ways to simplify complexity and deliver greater value through data
Requirements:
- Minimum of 5 years of experience in healthcare analytics, value-based care analytics, or a related research role
- Strong experience working with healthcare data, including medical claims, clinical, pharmacy, and eligibility data
- Advanced analytics skills using SQL and tools such as SAS, R, and/or Python
- Solid understanding of statistical methods, including regression, confidence intervals, power analysis, and model validation
- Working knowledge of value-based care models such as ACOs, episodes, or bundled payments
- Proven ability to manage multiple priorities in a fast-paced, matrixed environment
- Clear and confident communication skills, both written and verbal
- Master's degree or equivalent experience in statistics, data science, public health, health economics, or a related field
- Experience in medical economics or healthcare financial modeling
- Experience creating data visualizations and storytelling using tools such as Tableau or Python-based libraries