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.

• 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 the 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: $82,940.00 - $. 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.

This position also includes an award target in the company’s equity award program.

Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and belongs. This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. Benefits include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

This position anticipates the application window closing on: 08/31/2026.