EY's Global Delivery Services seeks a skilled Pharma Forecasting Specialist – Manager to join its dynamic team. This role is pivotal in a cross-functional environment, focusing on global, country, and regional forecasting. The ideal candidate will possess extensive forecasting expertise, deep therapeutic area knowledge within pharmaceuticals, and a proven ability to develop strategic recommendations and compelling presentations. Basic Python proficiency is also a requirement for this position.

Develop and refine short-term and long-term brand volume forecasts for strategic planning. Conduct in-depth long-term brand and franchise forecasting, leveraging franchise insights for guidance. Address regional and brand-level analytical challenges using quantitative methods and perform sensitivity analyses to mitigate risks and enhance accuracy. Act as a key stakeholder in cross-functional teams, collaborating with marketing, finance, and other departments for global, country, and regional forecasting needs. Create and maintain precise forecasts using advanced analytical techniques, and develop concept notes and presentations to communicate findings. Perform comprehensive business analysis, including requirement elicitation and data management. Apply Python skills to automate and optimize forecasting processes, and analyze market trends to inform models. Present insights and recommendations to executive leadership and continuously improve forecasting methodologies.

Candidates should possess strong business analysis skills encompassing requirement elicitation, data management, change management, and presentation delivery. A solid understanding of the Long Range Forecasting process is essential, alongside excellent communication, facilitation, and stakeholder management capabilities. Essential expertise includes therapeutic area-specific knowledge and pharmaceutical industry experience. Basic Python coding skills are also required. A Bachelor's degree in a relevant field such as Business Administration, Data Science, Applied Mathematics, Pharmaceutical Sciences, Business Analytics, Computer Science, Information Systems, or another quantitative discipline, coupled with relevant work experience, is mandatory. Familiarity with tools like SQL, Tableau, and Alteryx, along with data processing techniques, is expected.