Pharma Forecasting Leader (Hybrid)

EY; Stamford (CT); Hybrid; USD 126,000 - 230,000; Full time

Job summary

EY is seeking an experienced Pharma Forecasting Specialist to join our team and deliver forecasts at global, regional, and country levels. The role emphasizes building robust forecasting models, presenting to senior leadership, and leveraging Python for analytics.

The ideal candidate has 10+ years in pharmaceutical forecasting with deep TA expertise and a proven ability to translate data into strategic recommendations. EY offers a hybrid work model and a competitive compensation package.

Qualifications

• 10+ years of pharmaceutical forecasting experience and strong TA expertise.
• Ability to develop forecasting assumptions, create concept notes, and prepare presentations.
• Basic proficiency in Python to support forecasting and analytics activities.

Responsibilities

• Develop and maintain short- and long-term brand forecasts for strategic planning.
• Conduct brand, franchise, regional, and country forecasts and provide business insights.
• Apply quantitative methods and sensitivity analyses to forecast risks and opportunities.
• Build, validate, and enhance forecasting models with appropriate assumptions.
• Analyze historical performance, market dynamics, and drivers to improve accuracy.
• Prepare reports, dashboards, and presentations to communicate insights.
• Present findings to senior leadership and stakeholders to support decisions.
• Leverage Python and analytics tools to automate forecasting processes.
• Drive continuous improvement with best practices and emerging forecasting tech.

Skills

Pharmaceutical forecasting

Python basics

Cross-functional collaboration

Leadership

Stakeholder management

Data analytics

SQL

Tableau

Alteryx

Power BI

Python

Tools

SQL

Tableau

Alteryx

Power BI

Python

Job description

EY is seeking an experienced Pharma Forecasting Specialist to join our team and deliver forecasts at global, regional, and country levels. The role emphasizes building robust forecasting models, presenting to senior leadership, and leveraging Python for analytics.

The ideal candidate has 10+ years in pharmaceutical forecasting with deep TA expertise and a proven ability to translate data into strategic recommendations. EY offers a hybrid work model and a competitive compensation package.