Senior Manager, Category Promotion & Coupon Analytics

Posted 3 Days Ago
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Woonsocket, RI, USA
In-Office
83K-183K Annually
Senior level
Fitness • Healthtech • Retail • Pharmaceutical
The Role
Lead development of data-driven pricing, promotion, and coupon strategies. Analyze large datasets, build forecasting and analytical models, design and evaluate tests, and translate insights into actionable recommendations. Partner cross-functionally to optimize promotional performance, monitor financial KPIs, and drive adoption of modern data platforms and automation.
Summary Generated by Built In

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 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

Pay Range

The typical pay range for this role is:

$82,940.00 - $182,549.00


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 people fuel our future. 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 that they belong.

Great benefits for great people

We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.

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. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.


Additional details about available benefits are provided during the application process and on
Benefits Moments.

We anticipate the 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.

Skills Required

  • Bachelor's degree
  • 7+ years experience in analytics, strategy, pricing, promotions, or related fields
  • Proficiency in SQL and Python
  • Experience with modern data platforms (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 ability to influence cross-functional stakeholders
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The Company
HQ: Woonsocket, RI
119,959 Employees
Year Founded: 1963

What We Do

CVS Health is the leading health solutions company that delivers care in ways no one else can. We reach people in more ways and improve the health of communities across America through our local presence, digital channels and our nearly 300,000 dedicated colleagues – including more than 40,000 physicians, pharmacists, nurses and nurse practitioners. Wherever and whenever people need us, we help them with their health – whether that’s managing chronic diseases, staying compliant with their medications, or accessing affordable health and wellness services in the most convenient ways. We help people navigate the health care system – and their personal health care – by improving access, lowering costs and being a trusted partner for every meaningful moment of health. And we do it all with heart, each and every day.

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