Job
Description
As a Pharma Forecasting Specialist at EY, you will play a crucial role in a cross-functional team dedicated to forecasting at global, country, and region levels. Your responsibilities will include: - Developing brand volume forecasts for short-term and long-term strategic planning. - Conducting strategic long-term brand and franchise forecasting based on franchise insights. - Solving analytical challenges at regional and brand levels using quantitative approaches. - Collaborating with cross-functional teams for global, country, and regional forecasting needs. - Creating and maintaining accurate forecasts using advanced analytical techniques. - Recommending assumptions and methodologies for forecasting models. - Preparing concept notes and presentations to effectively communicate findings and recommendations. - Applying Python coding skills to automate and improve forecasting processes. - Collaborating with global teams to gather requirements and deliver insights. - Analyzing historical data and market trends to inform forecasting models. - Developing and maintaining detailed reports and dashboards for forecasting purposes. - Presenting findings and recommendations to internal stakeholders and executive leadership. - Continuously optimizing forecasting processes and methodologies. Key Competencies required for this role include strong business analysis skills, knowledge of Long Range Forecasting process, excellent communication and stakeholder management skills, therapeutic area-specific knowledge, and basic Python coding skills. Desired Skills and Experience: - Extensive experience in business analysis and forecasting within the pharmaceutical industry. - Strong knowledge of one or more pharma therapeutic areas such as Oncology, Vaccines, etc. - Proven track record in developing and maintaining accurate forecasts. - Advanced proficiency in business analysis and forecasting tools. - Basic proficiency in Python coding. - Strong verbal and written communication skills. - Ability to manage tasks independently and proactively. - Strong analytical and problem-solving skills. - Ability to work collaboratively with cross-functional teams and stakeholders. - Personal drive and positive work ethic to deliver results within tight deadlines and in demanding situations. Minimum Qualifications: - 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 is a plus. Preferred Qualifications: - Relevant analytical experience in the Pharmaceutical Industry. - Experience in developing and maintaining forecasting models in the pharmaceutical industry. - Expertise in business analysis and forecasting tools. - Basic proficiency in Python coding. - Strong verbal and written communication skills. - Proactiveness and passion to tackle new challenges. - Personal drive and positive work ethic to deliver results in demanding situations. At EY, we are committed to building a better working world by creating new value for clients, people, society, and the planet. With a focus on trust in capital markets, we leverage data, AI, and advanced technology to help clients shape the future with confidence and address the pressing issues of today and tomorrow. Our globally connected, multi-disciplinary network allows us to offer services in more than 150 countries and territories.,
