Pharma Forecasting

As a Forecasting Analyst, you will be responsible for developing brand volume forecasts for short-term and long-term strategic and operational planning. You will conduct strategic brand and franchise forecasting, solving analytical challenges using quantitative approaches. Your role will involve collaborating with cross-functional teams for global, country, and regional forecasting needs. Key Responsibilities: - Develop brand volume forecasts for short-term and long-term planning. - Conduct strategic brand and franchise forecasting. - Solve regional and brand-level analytical challenges using quantitative approaches. - Collaborate with cross-functional teams for forecasting needs. - Create and maintain accurate forecasts using advanced analytical techniques. - Recommend assumptions and methodologies for forecasting models. - Prepare concept notes and presentations to communicate findings effectively. - Perform comprehensive business analysis, including requirement elicitation and data management. - Apply Python coding skills to automate forecasting processes. - Collaborate with global teams to gather requirements and deliver insights. - Analyze historical data and market trends for 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 a relevant field such as Business, Economics, or Statistics. - Proficiency in advanced analytical and forecasting techniques. - Strong communication and presentation skills. - Experience with Python coding for automation. - Ability to collaborate effectively with cross-functional teams. - Knowledge of market trends and forecasting methodologies. You will play a crucial role in enhancing forecast accuracy, providing valuable insights to stakeholders, and contributing to the continuous improvement of forecasting processes.,