Pharma Forecasting Manager — Global Insight Leader

EY

Chantilly (VA)

Hybrid

USD 126,000 - 262,000

Full time

3 days ago
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Benefits offered by this job

Hybrid work model
Medical and dental coverage
Pension and 401(k)
Paid time off

Job summary

EY in the United States seeks an experienced Pharma Forecasting Specialist to join Commercial analytics and Forecasting. You will lead forecasts at global, regional, and country levels as a key stakeholder within a cross‑functional team, delivering insights to support strategic decisions.

The ideal candidate has 10+ years in pharmaceutical forecasting, deep TA expertise, and the ability to develop assumptions, create concept notes, and prepare impactful presentations.

Qualifications

  • 10+ years in pharmaceutical forecasting, commercial analytics, and business analysis.
  • Strong therapeutic area expertise across multiple TA.
  • Ability to develop forecasting assumptions, concept notes, and impactful presentations.

Responsibilities

  • Develop and maintain short‑term and long‑term brand forecasts to support strategic and operational planning.
  • Conduct forecast analyses at global, regional, and country levels with actionable insights.
  • Build, validate, and enhance forecasting models and methodologies.
  • Prepare concept notes, reports, dashboards, and presentations for senior leadership.
  • Leverage Python and analytics tools to automate forecasting processes.

Skills

Pharmaceutical forecasting
Python (basic)
Forecasting software
SQL
Tableau
Alteryx
Power BI
Leadership
Cross-functional collaboration

Education

Bachelor’s degree (business administration, data science, pharmaceutical sciences, analytics)

Tools

SQL
Tableau
Alteryx
Power BI
Python

Job description

EY in the United States seeks an experienced Pharma Forecasting Specialist to join Commercial analytics and Forecasting. You will lead forecasts at global, regional, and country levels as a key stakeholder within a cross‑functional team, delivering insights to support strategic decisions.

The ideal candidate has 10+ years in pharmaceutical forecasting, deep TA expertise, and the ability to develop assumptions, create concept notes, and prepare impactful presentations.

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