Track and report key performance indicators (kpis)
This role will support short to medium term demand forecast, business analytics, KPI tracking and commercial performance reporting for the North America Cystic Fibrosis business
Job Summary
This role will support short to medium term demand forecast, business analytics, KPI tracking and commercial performance reporting for the North America Cystic Fibrosis business.
The ideal candidate must be a skilled and experienced individual contributor, with a demonstrated ability to develop & maintain complex models using both top-down and bottom-up forecasting techniques.
Vertex is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry, ethnicity, disability, veteran status, genetic information, sexual orientation, marital status, or any characteristic protected under applicable law.
Matching Summary
This role will support short to medium term demand forecast, business analytics, KPI tracking and commercial performance reporting for the North America Cystic Fibrosis business.
Salary
Base: $157,800 - $236,600; Bonus/Equity: Eligible for annual bonus and annual equity awards; Benefits: Inclusive market-leading benefits
Skills & Requirements
Must-have
Develop and maintain complex forecast models
Analyze commercial performance data
Track and report key performance indicators (KPIs)
Collaborate with cross-functional stakeholders
Utilize statistical programming languages
Nice-to-have
Deep understanding of data sets
Adapt to evolving business needs
Contribute to capability advancement
Key Requirements
Master’s degree in a quantitative discipline or equivalent experience
7-10 years of experience in pharmaceutical or biotech industry
6+ years of insights, forecasting, and/or analytics experience
Proficiency with complex Excel forecast models
Experience with commercial pharma data sets (e.g., IQVIA, patient claims)
Experience using statistical programming language (e.g., SAS, Python, R)