Senior Manager, Category Promotion & Coupon Analytics

CVS Health; Woonsocket (RI); On-site; USD 82,940 - 182,549; Full time

Job summary

CVS Health is seeking a Senior Manager, Category Promo & Coupon Analytics to lead data‑driven pricing strategies that boost engagement, sales and margin. You will partner with Merchandising, Marketing and Analytics to uncover insights and translate them into business plans.

Lead data‑driven pricing, promotion and coupon initiatives, build forecasting tools and dashboards, and influence senior leadership with clear recommendations.

Qualifications

• Bachelor’s degree required.
• 7+ years in analytics, strategy, pricing, promotions or related fields.
• Strong SQL and Python for data analysis and modeling.
• Experience with modern data platforms (Databricks, Snowflake or similar).
• Ability to translate insights into business impact.
• Strong financial acumen and KPI management.
• Excellent cross-functional communication and influence.

Responsibilities

• Develop data‑driven pricing, promotion and coupon strategies.
• Analyze large datasets to identify trends, risks and opportunities.
• Translate analytics into actionable recommendations for senior leaders.
• Design and evaluate tests (A/B, pilots) to measure effectiveness.
• Build scalable models, forecasting tools and dashboards.
• Collaborate with Merchandising, Marketing and Analytics teams.

Skills

SQL

Python

Analytics

Data platforms

Databricks

Snowflake

Palantir Foundry

Communication

Leadership

Education

Bachelor’s degree

Master’s degree (MBA, MS in Analytics, Data Science or related field)

Tools

Databricks

Snowflake

Palantir Foundry

Job description

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.