Job
Description
Role Overview: You are being sought after to join as a Pharma Forecasting Specialist at EY. In this role, you will play a crucial part in a cross-functional team responsible for forecasting at global, country, and region levels. Your expertise in forecasting, therapeutic areas, and pharma experience will be vital in recommending assumptions, creating concept notes, and developing presentations. Additionally, basic Python coding skills are essential for this role. Key Responsibilities: - Develop brand volume forecasts for 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 and perform sensitivity analyses to enhance forecast accuracy. - Collaborate as a key stakeholder in cross-functional teams 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 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. 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 and techniques like SQL, Tableau, Alteryx, and data processing. - Familiarity with Machine Learning/Statistical Learning and AI and their application cases is a plus. Role Overview: You are being sought after to join as a Pharma Forecasting Specialist at EY. In this role, you will play a crucial part in a cross-functional team responsible for forecasting at global, country, and region levels. Your expertise in forecasting, therapeutic areas, and pharma experience will be vital in recommending assumptions, creating concept notes, and developing presentations. Additionally, basic Python coding skills are essential for this role. Key Responsibilities: - Develop brand volume forecasts for 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 and perform sensitivity analyses to enhance forecast accuracy. - Collaborate as a key stakeholder in cross-functional teams 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 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. 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 and techniques like SQL, Tableau, Alteryx, and data processing. - Familiarity with Machine Learning/Statistical Learning and AI and their application cases is a plus.
