Elevate your career at EY within our Technology Consulting division, focusing on Commercial Analytics and Forecasting for the Life Sciences sector. We are seeking a seasoned Pharma Forecasting Specialist to play a crucial role in a dynamic, cross-functional team. This position involves developing comprehensive forecasts at global, regional, and country levels, directly influencing strategic business decisions. The ideal candidate possesses over 7 years of specialized pharmaceutical forecasting experience, deep therapeutic area knowledge, and the ability to craft compelling presentations and concept notes. A foundational understanding of Python is essential for advanced analytics and forecasting activities.

Drive short-term and long-term brand forecast development to support strategic planning initiatives. Conduct in-depth brand, franchise, regional, and country-level forecasting, delivering actionable insights and strategic recommendations. Employ sophisticated quantitative and analytical methodologies to address complex forecasting challenges and perform sensitivity analyses to identify potential risks and opportunities. Construct, validate, and refine forecasting models, recommending optimal assumptions and methodologies. Analyze historical performance, market dynamics, and key business drivers to enhance forecast accuracy. Create clear and impactful concept notes, reports, dashboards, and presentations to effectively communicate findings and recommendations. Present insights to internal stakeholders and senior leadership to facilitate informed decision-making. Utilize Python and other analytical tools to streamline and optimize forecasting processes. Champion continuous improvement by integrating best practices, innovative techniques, and cutting-edge forecasting technologies.

Demonstrate at least 7 years of comprehensive experience in pharmaceutical forecasting, commercial analytics, and business analysis within the life sciences industry. Showcase extensive expertise in developing, maintaining, and refining forecasting models essential for strategic and operational decision-making across diverse global markets. Possess strong command over Long-Range Forecasting (LRF), various forecasting methodologies, scenario planning, and sensitivity analysis. Proven track record in business analysis, encompassing requirements gathering, data management, process optimization, change management, and executive-level presentation delivery. Exhibit deep therapeutic area knowledge in Oncology, Vaccines, Immunology, Rare Diseases, or other key pharmaceutical disciplines. Present a documented history of delivering accurate forecasts and valuable business insights at global, regional, and country levels. Extensive experience collaborating effectively with cross-functional teams, including Commercial, Finance, Market Access, Medical Affairs, HEOR, and Strategic Planning. Proficiency in forecasting and analytics platforms such as SQL, Tableau, Alteryx, and Power BI, alongside other data processing tools. Strong practical knowledge of Python for analytics, forecasting, process automation, and advanced modeling. Familiarity with Artificial Intelligence (AI), Machine Learning (ML), and advanced statistical techniques applied to forecasting and commercial decision-making. Exceptional analytical and problem-solving abilities, with the capacity to translate intricate data into strategic business recommendations. Excellent communication, presentation, facilitation, and stakeholder management skills, with experience engaging senior leadership and client executives. Proven ability to manage multiple priorities, lead complex projects, and deliver high-quality results in a fast-paced environment. Demonstrated success working with global and cross-functional teams across various geographies and organizational levels. Strong leadership presence, business acumen, and an ownership mindset focused on driving client value and delivery excellence. A passion for continuous learning, innovation, and embracing emerging technologies and best practices in pharmaceutical forecasting and analytics. Experience leading and mentoring high-performing teams, fostering a culture of collaboration, capability development, and continuous improvement. A track record of contributing to business development, proposal support, thought leadership, and practice-building initiatives. A Bachelor’s degree in a quantitative discipline such as business administration, Data Science, Applied Mathematics, Pharmaceutical Sciences, Business Analytics, Computer Science, or Information Systems, complemented by relevant professional experience. Basic Python proficiency is a must.