Strategic Pricing & Forecasting Analytics Lead

CVSHealth; Woonsocket (RI); On-site; USD 83,000 - 183,000; Full time

Job summary

CVS Health in Rhode Island is seeking a Senior Manager, Pricing & Forecasting Analytics to drive pricing strategy, model deals, and forecast revenue across Pharmacy Services and Immunizations. You will build financial models, inform contract negotiations, and translate data into actionable insights for senior leadership, balancing analytical rigor with business judgment.

This role requires strong SQL/Python skills, experience with large datasets, and the ability to communicate complex findings

Qualifications

• 7+ years of analytics, finance, strategy, or related field.
• Experience building/maintaining financial, forecasting, or pricing models.
• Ability to translate data into business insights and strategic recommendations.
• Proficiency querying, joining, and analyzing large datasets.
• Experience with relational databases and multiple data sources.

Responsibilities

• Lead development of financial models evaluating growth opportunities.
• Support contract negotiations and forecast performance across portfolio.
• Develop pricing strategy and deal modeling to inform leadership decisions.
• Translate complex data into actionable recommendations for senior leaders.
• Collaborate with cross-functional teams to ensure alignment on forecasts.

Skills

Analytical thinking

Financial modeling

Data storytelling

SQL & data querying

Cross-functional collaboration

Project management

Education

Bachelor's degree

Tools

SQL

Python

Power BI

Tableau

Foundry

Job description

CVS Health in Rhode Island is seeking a Senior Manager, Pricing & Forecasting Analytics to drive pricing strategy, model deals, and forecast revenue across Pharmacy Services and Immunizations. You will build financial models, inform contract negotiations, and translate data into actionable insights for senior leadership, balancing analytical rigor with business judgment.

This role requires strong SQL/Python skills, experience with large datasets, and the ability to communicate complex findings