Healthcare Data Analyst - Value Based Care - Remote

Cigna Healthcare•Bloomfield, CT

2d•$107,700 - $179,500•Remote

About The Position

This role focuses on shaping value-based care programs by leveraging complex health data to improve affordability, quality, and outcomes. The Business Analytics Advisor will partner with clinicians, business leaders, and technology teams to design data-driven solutions. The position involves working on challenging analytical problems, applying advanced analytics, and influencing healthcare delivery across the system. The team is collaborative, mission-driven, and values continuous learning and making a significant impact.

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.

Nice To Haves

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.

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.