Pharma Forecasting Manager — Global Analytics Lead

Ernst & Young Oman; Carson City (NV); Hybrid; USD 126,000 - 230,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

EY in the United States is seeking a Pharma Forecasting Specialist to join the Commercial Analytics and Forecasting team. You will work as a key stakeholder to deliver forecasts at the global, regional, and country levels, shaping strategic decisions across markets.

The ideal candidate has 10+ years in pharmaceutical forecasting, deep TA expertise, and basic Python proficiency to support forecasting activities.

Qualifications

• 10+ years in pharmaceutical forecasting and analytics.
• Experience in global, regional, and country forecasts.
• Strong TA expertise and ability to develop forecasting assumptions.
• Proficiency with Python for analytics and forecasting.

Responsibilities

• Develop and maintain short- and long-term brand forecasts.
• Forecast at global, regional, and country levels with insights.
• Apply quantitative methods and sensitivity analyses to forecast risks and opportunities.
• Build and enhance forecasting models with appropriate assumptions.
• Analyze historical performance and market drivers to improve accuracy.
• Prepare concept notes, dashboards, and presentations for leadership.
• Present findings to senior stakeholders to support decisions.
• Automate forecasting processes using Python and analytics tools.
• Lead continuous improvement within the Pharma Customer practice.

Skills

Project management

Analytics

Leadership

Python basics

Strategic thinking

Education

Bachelor’s degree in a quantitative field

Tools

SQL

Tableau

Power BI

Alteryx

Python

Job description

EY in the United States is seeking a Pharma Forecasting Specialist to join the Commercial Analytics and Forecasting team. You will work as a key stakeholder to deliver forecasts at the global, regional, and country levels, shaping strategic decisions across markets.

The ideal candidate has 10+ years in pharmaceutical forecasting, deep TA expertise, and basic Python proficiency to support forecasting activities.