Senior Manager, Category Promotion & Coupon Analytics

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.

The Senior Manager, Category Promo & Coupon Analytics will lead the development of data-driven promotional and pricing strategies that drive customer engagement, sales, and margin. This role sits within the Price and Value organization and partners cross-functionally with Merchandising, Marketing, and Analytics teams to uncover insights, optimize discount strategies, and translate analytics into actionable business plans.

This is a highly analytical and technical role requiring expertise in large-scale data analysis, advanced programming, and modern data platforms to inform strategic decision-making.

• Develop and execute data-driven pricing, promotion, and coupon strategies that maximize sales, margin, and customer value
• Analyze large, complex datasets to identify trends, risks, and opportunities across categories
• Translate analytical insights into clear, actionable recommendations for senior leadership
• Design and evaluate tests (A/B, pilots) to measure effectiveness of promotional strategies

• Leverage SQL, Python, and modern data platforms to extract, transform, and analyze data at scale
• Build scalable analytical models, forecasting tools, and reporting dashboards
• Utilize platforms such as Databricks, Snowflake, and/or Palantir Foundry to integrate and analyze enterprise data
• Partner with data engineering and analytics teams to enhance data pipelines and capabilities

• Size opportunities and forecast impact of promotional initiatives
• Monitor performance against key KPIs (sales, margin, ROI) and adjust strategies accordingly
• Support annual planning, budgeting, and ongoing financial tracking

• Collaborate with Merchandising, Marketing, Loyalty, and Operations to align strategies with business goals
• Influence stakeholders through data-driven storytelling and executive-level presentations
• Act as a thought leader in promotional and pricing strategy discussions

• Identify opportunities to improve efficiency, automation, and analytical capabilities
• Stay current on industry trends, tools, and best practices in pricing, promotions, and retail analytics
• Drive adoption of new technologies and advanced analytic approaches

• Strategic thinking and problem solving
• Advanced analytical and technical capability
• Cross-functional leadership and influence
• Executive communication and storytelling
• Results orientation and ownership
• Adaptability in a fast-paced environment

• Bachelor’s degree required
• 7+ years of experience in analytics, strategy, pricing, promotions, or related fields
• Strong proficiency in SQL and Python for data analysis and modeling
• Experience working with modern data platforms (e.g., Databricks, Snowflake, or similar)
• Proven ability to analyze large datasets and translate insights into business impact
• Strong financial acumen and experience managing or influencing performance metrics
• Excellent communication skills with the ability to influence cross-functional stakeholders

• Master’s degree (MBA, MS in Analytics, Data Science, or related field)
• Experience with Palantir Foundry or similar advanced analytics platforms
• Experience in retail, pricing, promotions, loyalty, or consumer-focused industries
• Experience building and scaling data products, dashboards, or advanced analytics solutions
• Familiarity with experimentation frameworks and advanced statistical methods

• Bachelor’s degree required. Master's degree in a related field is preferred

The typical pay range for this role is: