Senior Manager, Category Promotion & Coupon Analytics

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

Benefits offered by this job

Comprehensive benefits: medical, dent,

Paid time off

Job summary

CVS Health is seeking a senior analytics professional to lead data-driven pricing, promotion, and coupon strategies. You will analyze large datasets, build forecasting models, and deliver actionable insights to senior leadership from platforms like Databricks, Snowflake, and Palantir Foundry.

You will collaborate with Merchandising, Marketing, Loyalty, and Operations to drive business impact, forecast opportunities, and support annual planning.

Qualifications

• Bachelor’s degree required.
• 7+ years of analytics, strategy, pricing, promotions, or related fields.

Responsibilities

• 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 the effectiveness of promotional strategies.
• 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 Palantir Foundry to integrate and analyze enterprise data.
• Partner with data engineering and analytics teams to enhance data pipelines and capabilities.
• Size opportunities and forecast impact of promotional initiatives.
• Monitor performance against KPIs and adjust strategies accordingly.
• Support annual planning, budgeting, and ongoing financial tracking.
• Collaborate with Merchandising, Marketing, Loyalty, and Operations to align strategies with business goals.
• Influence stakeholders through data-driven storytelling and executive-level presentations.
• Drive adoption of new technologies and advanced analytic approaches.

Skills

SQL

Python

Data analysis

Executive communication

Forecasting

Cross-functional collaboration

Education

Bachelor's degree

Master's degree (MBA/MS Analytics)

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.

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 the 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.

Benefits

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 belongs. 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. Benefits include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.

Legal & EEO Statement

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

Application Deadline

This position anticipates the application window closing on: 08/31/2026.