[Hiring] Sr. Data Science Analyst @CVS Health

Role Description

The 340B Analytics team is seeking a Sr. Data Science Analyst to support CVS’s 340B operations. In this role, you will collaborate with stakeholders across the organization to deliver advanced analytics and AI-driven insights that inform strategic initiatives. You will leverage predictive modeling, pharmacy claims analysis, and large language models (LLMs) to identify opportunities for revenue growth, client acquisition and retention, operational optimization, and cost savings. This role requires end-to-end ownership of analytics projects—from data extraction and transformation to modeling and visualization—while driving innovation through the use of AI and automation tools.

• Design and implement predictive models to forecast CE performance, customer behavior, and business outcomes.
• Apply AI and Large Language Models (LLMs) to automate insights generation, enhance reporting, and support strategic initiatives.
• Own the full lifecycle of analytics projects, including data extraction, transformation, modeling, and visualization.
• Collaborate with subject matter experts (SMEs) across business, marketing, and finance to ensure analytics solutions are accurate, timely, and actionable.
• Analyze pharmacy claims and market data to identify root causes of performance issues and recommend improvements.
• Develop and maintain dashboards using Tableau and build automation workflows using Dataiku, Alteryx, Python, or R.
• Conduct market research and trend analysis to assess the size, dynamics, and competitive landscape of the 340B market.
• Continuously explore and implement innovative tools and methodologies to improve analytic capabilities and drive business impact.

Qualifications

• Experience in predictive modeling.
• Proficiency in SQL for data extraction and manipulation.
• Experience using AI and LLMs to solve business problems or automate analytics tasks.
• Strong analytical and strategic thinking skills with the ability to translate data into actionable insights.
• Excellent communication and collaboration skills across technical and non-technical teams.
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Familiarity with low-code/no-code platforms (e.g., Alteryx, Dataiku).

Requirements

• Working knowledge of Python or R for data science workflows.
• Experience in statistical analysis, and machine learning.

Education

• Bachelor’s degree in a quantitative field (e.g., Statistics, Economics, Mathematics, Computer Science) with 5+ years of relevant experience, or a Master’s degree in a related field.

Anticipated Weekly Hours

40

Time Type

Full time

Pay Range

The typical pay range for this role is: $46,988.00 - $158,620.00. This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.

Benefits

• Affordable medical plan options.
• 401(k) plan (including matching company contributions).
• Employee stock purchase plan.
• No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.
• Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.