Sr. Data Science Analyst

CVS Health

21h

About The Position

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary 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.

Requirements

• 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).
• 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.

Nice To Haves

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

Responsibilities

• 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.

Benefits

• Affordable medical plan options, a 401(k) plan (including matching company contributions), and an 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level