Senior Manager, Category Promotion & Coupon Analytics
Listed on 2026-07-10
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IT/Tech
Data Analyst, Data Science Manager, Business Systems & Technology Analysis
Senior Manager, Category Promo & 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.
Key Responsibilities- 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:
$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…
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