Cigna HealthcareRemote
Business Analytics Advisor (Specialty Care Collaboration) - Remote
United States of America
Full Time
1 week ago
$108,000 - $180,000 USD
H1B Sponsor Likely
Key skills
Healthcare analyticsValue-based care analyticsMedical claims dataClinical dataPharmacy dataEligibility dataSQLSASRPythonStatistical methodsRegressionConfidence intervalsPower analysisModel validationValue-based care modelsACOEpisodesBundled paymentsAnalyticsTableauCommunication
About this role
Cigna Healthcare is dedicated to improving the health and vitality of those they serve. They are seeking a Business Analytics Advisor to utilize advanced analytics for shaping value-based care programs that enhance affordability, quality, and outcomes in healthcare. The role involves collaborating with experts to design solutions that assist clinicians and partners in making informed decisions based on data insights.
Responsibilities:
- Design and influence value-based payment programs by translating complex data into clear, actionable insights that support affordability and quality goals
- Lead advanced and exploratory analyses to uncover trends, root causes, and new opportunities within healthcare and specialty care data
- Apply strong statistical and analytic rigor to evaluate pilots and initiatives, supporting confident, data-driven decisions
- Build and maintain financial and analytic models that inform program design, forecasting, and performance reconciliation
- Partner closely with clinical, technical, and business teams to embed insights into tools and solutions used by providers and leaders
- Clearly communicate findings and recommendations to non-technical audiences to influence strategy and action
Requirements:
- At least 5 years of experience in healthcare analytics, value-based care analytics, or related research roles
- Strong experience working with healthcare data such as medical claims, clinical, pharmacy, and eligibility data
- Advanced analytical skills using SQL and tools such as SAS, R, and/or Python
- Solid grounding in 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
- Ability to manage multiple priorities in a fast-paced, matrixed environment
- Clear and confident written and verbal communication skills
- Master's degree or equivalent experience in statistics, data science, public health, health economics, or a related field
- Experience with medical economics or healthcare financial modeling
- Experience creating visualizations and storytelling through tools such as Tableau or Python-based libraries