Merchandise Data Analyst Jobs in Woonsocket, RI (NOW HIRING)

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 ourselvesaccountable 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:

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.

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

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.