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. Position Summary 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. Key Responsibilities Strategy & Insights 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 Analytics & Technical Execution 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 Financial Performance & Optimization 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 Cross‑Functional Influence 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 Innovation & Continuous Improvement 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 Core Competencies 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 Required Qualifications 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 Preferred Qualifications 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 Education Bachelor’s degree required. Master’s degree in a related field is preferred The typical pay range for this role is $82,940.00 – $182,549.00. Application window for this opening will close on: 08/31/2026. Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws. #J-18808-Ljbffr CVS Health