Pharma Forecasting-Senior

Role Overview: You will be joining as a Pharma Forecasting Specialist at EY, where you will play a key role in a cross-functional team responsible for forecasting at global, country, and region levels. Your primary responsibilities will include developing brand volume forecasts, conducting strategic long-term brand and franchise forecasting, collaborating with cross-functional teams, and continuously optimizing forecasting processes and methodologies. Additionally, you will be required to apply your strong forecasting skills, therapeutic area knowledge, and basic Python coding skills to provide accurate forecasts and insights. Key Responsibilities: - Develop brand volume forecasts for short-term and long-term strategic and operational planning. - Conduct strategic long-term brand and franchise forecasting based on franchise insights. - Solve regional and brand-level analytical challenges using quantitative approaches. - Perform sensitivity analyses to identify opportunities and manage risks for enhanced forecast accuracy. - Collaborate with cross-functional teams for global, country, and regional forecasting needs. - Recommend assumptions and methodologies for forecasting models. - Prepare concept notes and presentations to effectively communicate findings and recommendations. - Utilize Python coding skills to automate and improve forecasting processes. - 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. - Stay updated with the latest tools, technologies, and best practices in forecasting and analytics. Qualifications Required: - Bachelor's degree in Business Administration, Data Science, Applied Mathematics, Pharmaceutical Sciences, Business Analytics, Computer Science, Information Systems, or other Quantitative field. - Strong experience in business analysis and forecasting within the pharmaceutical industry. - Basic proficiency in Python coding. - Experience with tools and techniques like SQL, Tableau, Alteryx, and data processing. - Familiarity with Machine Learning/Statistical Learning and AI is a plus. Additional Details: EY is a global organization dedicated to building a better working world by creating long-term value for clients, people, and society while building trust in the capital markets. With diverse teams in over 150 countries, EY offers services in assurance, consulting, law, strategy, tax, and transactions to address complex issues and provide innovative solutions.,