Pharma Forecasting Manager — Global Analytics Leader

Ernst & Young Oman; Salem (OR); On-site; USD 126,000 - 230,000; Full time

Job summary

EY seeks an experienced Pharma Forecasting Specialist to join Commercial Analytics and Forecasting. You will deliver global, regional, and country forecasts, working with cross-functional teams to support strategic planning and decision-making.

The role requires 10+ years in pharmaceutical forecasting, TA expertise, and proficiency in Python for forecasting and analytics; you will build models, prepare notes and presentations, and mentor the team in a hybrid work environment.

Qualifications

• 10+ years of pharmaceutical forecasting, commercial analytics, and business analysis within the life sciences industry.
• Extensive experience in developing, maintaining, and enhancing forecasting models across global markets.
• Strong expertise in Long-Range Forecasting (LRF), forecasting methodologies, scenario planning, and sensitivity analysis.
• Proven ability to translate data into strategic business recommendations for senior leadership.

Responsibilities

• Develop and maintain short-term and long-term brand forecasts to support strategic and operational planning.
• Conduct brand, franchise, regional, and country-level forecasting, providing actionable insights and recommendations.
• Apply quantitative and analytical techniques to solve forecasting challenges and perform sensitivity analyses.
• Build, validate, and enhance forecasting models and methodologies.
• Prepare concept notes, dashboards, and presentations to communicate insights to stakeholders.

Skills

Forecasting

Analytical thinking

Leadership

Strategic thinking

Stakeholder management

Python basics

Cross-functional collaboration

Education

Bachelor's degree in quantitative field

Tools

SQL

Tableau

Alteryx

Power BI

Python

Job description

EY seeks an experienced Pharma Forecasting Specialist to join Commercial Analytics and Forecasting. You will deliver global, regional, and country forecasts, working with cross-functional teams to support strategic planning and decision-making.

The role requires 10+ years in pharmaceutical forecasting, TA expertise, and proficiency in Python for forecasting and analytics; you will build models, prepare notes and presentations, and mentor the team in a hybrid work environment.