Pharma Forecasting - Senior

Role Overview: You will be joining as a Pharma Forecasting Specialist at a leading company, where you will play a crucial role in brand volume forecasting for short-term and long-term strategic planning. Your responsibilities will include collaborating with cross-functional teams, conducting business analysis, developing accurate forecasts, and staying updated with the latest tools and technologies in forecasting and analytics. Key Responsibilities: - Develop brand volume forecasts for strategic and operational planning. - Conduct strategic long-term brand and franchise forecasting based on insights. - Solve analytical challenges at regional and brand levels 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. - Create and maintain accurate forecasts using advanced analytical techniques. - Recommend assumptions and methodologies for forecasting models. - Prepare concept notes and presentations to effectively communicate findings and recommendations. - Apply 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. - Continuously optimize forecasting processes and methodologies. Qualifications Required: - Bachelor's degree in Business Administration, Data Science, Applied Mathematics, Pharmaceutical Sciences, Business Analytics, Computer Science, Information Systems, or other Quantitative field. - Experience with tools like SQL, Tableau, Alteryx, and data processing. - Familiarity with Machine Learning/Statistical Learning and AI is a plus. - 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. About the Company: EY is dedicated to building a better working world by creating long-term value for clients, people, and society. With a global presence in over 150 countries, EY's diverse teams leverage data and technology to provide assurance and help clients grow, transform, and operate effectively across various domains including assurance, consulting, law, strategy, tax, and transactions. EY focuses on asking better questions to find innovative solutions to the complex challenges faced by the world today.,