Medicare Sales Strategy Analytics Lead

CVS Health; Oklahoma; On-site; USD 102,000 - 204,000; Full time

Benefits offered by this job

Medical coverage

Paid time off

Retirement savings options

Wellness programs

Job summary

CVS Health is seeking a data scientist to build and maintain sales performance models, develop predictive models for Medicare enrollment, and analyze sales funnel data to identify opportunities. You will design dashboards and collaborate with Sales, Marketing, and Finance to translate data into growth strategies.

Ideal candidates have 3+ years in data science with SQL and Python or R, plus experience with CMS data.

Qualifications

• 3+ years in data science or advanced analytics including 2+ years supporting Medicare, Medicare Advantage, or Part D markets.
• Strong SQL skills and proficiency in Python or R for modeling and automation.
• Experience with CMS public data (enrollment files, landscape files, plan finder data).

Responsibilities

• Build and maintain sales performance models tracking agent, broker, and channel productivity.
• Develop predictive models for Medicare enrollment forecasting, lead scoring, and market penetration.
• Analyze sales funnel data to identify conversion opportunities and retention risks.
• Design and manage sales reporting infrastructure (dashboards, KPIs, scorecards).
• Support territory planning and market segmentation using CMS enrollment and demographic data.
• Partner with Sales, Marketing, and Finance to translate data into actionable growth strategies.
• Manage and govern sales data assets — ensuring accuracy, consistency, and accessibility.
• Mentor junior analysts and establish data standards for the sales org.

Skills

SQL

Python

R

Education

Master's in Statistics

Data Science

Tools

CMS data

Job description

CVS Health is seeking a data scientist to build and maintain sales performance models, develop predictive models for Medicare enrollment, and analyze sales funnel data to identify opportunities. You will design dashboards and collaborate with Sales, Marketing, and Finance to translate data into growth strategies.

Ideal candidates have 3+ years in data science with SQL and Python or R, plus experience with CMS data.