Healthcare Analytics Advisor - Hybrid - MD

Healthcare Analytics Advisor - Hybrid - MD Live page is loaded## Healthcare Analytics Advisor - Hybrid - MD Live remote type:
Hybrid locations:
NC, Raleigh, 701 Corporate Center Dr STE 200:
MN, Bloomington, 6625 West 78th St STE 100:
IL, Chicago, 500 W. Madison St STE 3470:
KY, Louisville, 1700 Eastpoint Pkwy:
FL, Miramar, 3350 SW 148th Ave STE 300time type:
Full time posted on:
Posted Todayjob requisition :
Join MD Live by Evernorth, a leader in virtual healthcare and technology innovation. As aHealthcare Analytics Advisor**,
** you will play a critical role at the intersection of advanced analytics, data engineering, and healthcare strategy. You will partner with clinical, operational, and business leaders to turn complex healthcare data into actionable insights that improve outcomes, optimize performance, and drive innovation across the organization.
** What you’ll do to make a difference****:
*** Serve as a trusted analytics advisor and subject matter expert to internal stakeholders.
* Translate complex data findings into clear, actionable strategies that influence healthcare operations and decision‑making.
* Design and deliver KPIs, dashboards, scorecards, and forecasts to monitor population health, clinical outcomes, and program performance.
* Clearly communicate trends, risks, and opportunities through compelling data storytelling.
* Lead root cause analyses to identify data quality issues and performance drivers.
* Champion data governance standards to ensure accuracy, consistency, and reliability across analytics solutions.
* Build and apply advanced algorithms, statistical models, and analytical frameworks to optimize healthcare operations and improve patient outcomes.
* Continuously identify new opportunities to leverage analytics and emerging technologies in virtual care.
** What you’ll need to succeed:
*** Bachelor’s degree in Actuarial Science, Data Science, Computer Science, Economics, or a related field required. Master’s degree preferred.
* 5+ years of experience in healthcare analytics, data science, or a related analytical role.
* 5+ years of hands‑on experience with SQL and Python.
* 3+ years of experience working with clinical EHR data and medical or pharmacy claims.
* Analytics: SQL (Window functions, CTEs), Python (Pandas, Num Py, Sci Py, DuckDB).
* Modeling:
Regression, Logistic Regression, Clustering, Decision Trees.
* Data Tools: dbt, Databricks.
* Visualization:
Tableau or Power BI.
* Workflow:
Git Hub, Jira/Azure Dev Ops.
* Data Sources:
Medical & Pharmacy Claims, EHR, ADT Feeds.
* Coding Standards: ICD-10, CPT, DRG, HCPCS, NDC, RxNorm.
* Metrics: PMPM, MLR, RAF, LOS, Churn.
* Risk & Quality: HEDIS, MIPS, eCQM, HCC.  If you will be working at home occasionally or permanently, the internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 10

Mbps download/5

Mbps upload.

For this position, we anticipate offering an annual salary of 96, USD / yearly, depending on relevant factors, including experience and geographic location.

This role is also anticipated to be eligible to participate in an annual bonus plan.

At The Cigna Group, you’ll enjoy a comprehensive range of benefits, with a focus on supporting your whole health. Starting on day one of your employment, you’ll be offered several health-related benefits including medical, vision, dental, and well-being and behavioral health programs. We also offer 401(k), company paid life insurance, tuition reimbursement, a minimum of 18 days of paid time off per year and paid holidays.

For more details on our employee benefits programs, .
** About Evernorth Health Services
** Evernorth Health Services, a division of The Cigna Group, creates pharmacy, care and benefit solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention and treatment of illness and disease more accessible to millions of people. Join us in driving growth and improving lives.
* Qualified applicants will be considered without regard to race, color, age, disability, sex, childbirth (including pregnancy) or related medical conditions including but not limited to lactation, sexual…