Senior Pharma Forecasting Consultant

EY; Pune District; On-site; INR 1,400,000 - 2,000,000; Full time

Job summary

EY in Pune seeks a Pharma Forecasting Specialist to join a cross‑functional team responsible for forecasting at global, country, and region levels. The role requires 5–8 years of forecasting experience in pharma, strong analytical skills, and basic Python coding.

You will develop brand forecasts, analyze data, and prepare presentations for leadership. The ideal candidate will contribute to model assumptions, create concept notes, and automate forecasting processes, staying updated with industry

Qualifications

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Responsibilities

• Develop brand volume forecasts for short- and long-term planning.
• Conduct strategic long-term brand and franchise forecasting with guidance.
• Solve regional and brand-level analytical challenges using quantitative methods.
• Perform sensitivity analyses to identify opportunities and manage forecast risks.
• Collaborate with cross-functional teams (marketing, finance, MMD, HHI, RCL) for forecasting needs.
• Create and maintain forecasts using advanced analytical techniques.
• Prepare concept notes and presentations communicating findings.

Skills

Forecasting

Pharma domain

Python

Business analysis

Stakeholder management

Long-range forecasting

Tools

Python

Excel

Dashboards

Job description

Job Summary

We are seeking a highly skilled Pharma Forecasting Specialist to join our team. This role involves being a key stakeholder in a cross‑functional team responsible for forecasting at global, country, and region levels based on need. The ideal candidate will have strong forecasting skills of around 5-8 years, therapeutic area (TA) and pharma experience, and the ability to recommend assumptions, create concept notes, and develop presentations. Basic Python coding skills are also required.

Responsibilities

• Develop brand volume forecasts for both short‑term and long‑term strategic and operational planning.
• Conduct strategic long‑term brand and franchise forecasting, providing guidance based on franchise insights.
• Solve regional and brand‑level analytical challenges using quantitative approaches.
• Perform sensitivity analyses to identify opportunities and manage risks, enhancing forecast accuracy.
• Collaborate as a key stakeholder in cross‑functional teams (marketing, finance, MMD, HHI, RCL) for global, country, and regional forecasting needs.
• Create and maintain accurate forecasts using advanced analytical and forecasting techniques.
• Recommend assumptions and methodologies for forecasting models.
• Prepare concept notes and presentations to effectively communicate findings and recommendations.
• Perform comprehensive business analysis, including requirement elicitation, data management, and change management.
• Apply Python coding skills to automate and improve forecasting processes.
• Collaborate with global teams (marketing, finance, RCLs, HHI, MMD, market access) to gather requirements and deliver insights.
• Analyze historical data and market trends to inform forecasting models.
• Develop and maintain detailed reports and dashboards for forecasting purposes.
• Present findings and recommendations to internal stakeholders and executive leadership.
• Continuously optimize forecasting processes and methodologies.
• Stay updated with the latest tools, technologies, and best practices in forecasting and analytics.

Skills and Attributes for Success Required Skills

• Strong business analysis skills with experience in requirement elicitation, data management, change management, and presentation.
• Knowledge of Long Range Forecasting process.
• Excellent communication, facilitation, and stakeholder management skills.
• Therapeutic area‑specific knowledge and pharma experience.
• Basic Python coding skills.

Desired Skills and Experience

• Extensive experience in business analysis and forecasting within the pharmaceutical industry.
• Strong knowledge of pharma therapeutic areas such as Oncology, Vaccines.
• Proven track record in developing and maintaining accurate forecasts.
• Advanced proficiency in business analysis and forecasting tools.
• Basic proficiency in Python coding.
• Strong verbal and written communication skills.
• Ability to manage tasks independently and proactively.
• Strong analytical and problem‑solving skills.
• Ability to work collaboratively with cross‑functional teams and stakeholders.