Healthcare Data Analyst - Value Based Care - Remote

Cigna Healthcare•Bloomfield, CT

1d•$107,700 - $179,500•Remote

About The Position

Do you enjoy turning complex health data into insights that improve care? As a Business Analytics Advisor, you will help shape value-based care programs that make healthcare more affordable and improve quality and outcomes. In this role, you will partner with clinicians, business leaders, and technology teams to design solutions that drive smarter decisions. You will work on meaningful challenges, apply advanced analytics, and help influence how care is delivered across the system. We are a collaborative and mission-driven team that values curiosity, continuous learning, and making a real difference for the people we serve.

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.