Senior FP&A Analyst — Commercial Drug Revenue

CVS Health; Hartford (CT); On-site; USD 47,000 - 112,000; Full time

Benefits offered by this job

Bonus eligibility

Comprehensive benefits

Paid time off

Job summary

CVS Health is seeking a Senior Analyst, FP&A – Commercial Revenue to lead financial planning, forecasting, and performance management for commercial drug revenue across Non-Medicare segments. You will develop budgets, quarterly forecasts, and monthly close deliverables, delivering variance analysis to influence leadership decisions.

This role requires strong Excel skills, data analysis, and experience with large data sets.

Qualifications

• Proficiency in Excel and experience with large data sets.
• Strong analytical and problem-solving skills with ability to explain multi-driver variances clearly.
• Experience with financial planning, budgeting, and forecasting in health or PBM environments preferred.

Responsibilities

• Supports development of annual operating plan, multi-year plan, and quarterly revenue forecasts for commercial segments.
• Performs monthly variance analysis for non-Medicare commercial revenue, identifying drivers such as volume, price, client mix, and formulary impacts.
• Builds and maintains financial models to evaluate revenue impacts from contracts, drug mix shifts, and client utilization trends.
• Prepares weekly performance updates and management reporting packages for leadership review.
• Supports ad-hoc analytics, special projects, and scenario modeling as directed by senior management.

Skills

Excel

Data analysis

Financial modeling

Education

Bachelor’s degree preferred

Master’s degree preferred

Tools

Tableau

Job description

CVS Health is seeking a Senior Analyst, FP&A – Commercial Revenue to lead financial planning, forecasting, and performance management for commercial drug revenue across Non-Medicare segments. You will develop budgets, quarterly forecasts, and monthly close deliverables, delivering variance analysis to influence leadership decisions.

This role requires strong Excel skills, data analysis, and experience with large data sets.