Pharma Forecasting Manager — Global Analytics

Ernst & Young Oman

Concord (NH)

Remote

USD 126,000 - 230,000

Full time

14 days+
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Benefits offered by this job

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

Job summary

EY is seeking an experienced Pharma Forecasting Specialist to join our Commercial analytics and forecasting team. You will deliver forecasts at global, regional, and country levels, collaborating with cross-functional stakeholders and leadership to inform strategic decisions.

Ideal candidates have 10+ years in pharmaceutical forecasting, strong TA expertise, and the ability to develop assumptions, create concept notes, and present impactful findings.

Qualifications

  • 10+ years of pharmaceutical forecasting, analytics and business analysis experience.
  • Strong TA expertise and ability to develop forecasting assumptions and presentations.
  • Basic Python proficiency to support forecasting and analytics.

Responsibilities

  • Develop and maintain short-term and long-term brand forecasts.
  • Conduct regional and country-level forecasting with actionable insights.
  • Build and validate forecasting models and perform sensitivity analyses.
  • Prepare dashboards and presentations for senior leadership.
  • Leverage Python and analytics tools to automate forecasting processes.
  • Drive continuous improvement using advanced forecasting technologies.

Skills

Python
SQL
Tableau
Alteryx
Power BI
Forecasting
Analytics
Stakeholder management
Leadership

Education

Bachelor’s degree in business administration / Data Science / Applied Mathematics / Pharmaceutical Sciences / Business Analytics / CS

Tools

SQL
Tableau
Alteryx
Power BI
Python

Job description

EY is seeking an experienced Pharma Forecasting Specialist to join our Commercial analytics and forecasting team. You will deliver forecasts at global, regional, and country levels, collaborating with cross-functional stakeholders and leadership to inform strategic decisions.

Ideal candidates have 10+ years in pharmaceutical forecasting, strong TA expertise, and the ability to develop assumptions, create concept notes, and present impactful findings.

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