CVS Health is seeking a Sr. Data Science Analyst to support its 340B operations by delivering advanced analytics and AI-driven insights to inform strategic initiatives, identify opportunities for revenue growth, client acquisition and retention, operational optimization, and cost savings.
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.
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Familiarity with low-code/no-code platforms (e.g., Alteryx, Dataiku).
- 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.
- 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.
Other
- Collaborate with stakeholders across the organization.
- Collaborate with subject matter experts (SMEs) across business, marketing, and finance to ensure analytics solutions are accurate, timely, and actionable.
- 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.
- 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.
