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.

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.

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 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 required7+ 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

Pay Range The typical pay range for this role is:$82,940.00 - $This pay range represents the base hourly rate or…