Manager/Senior Manager - Pharma Forecasting

Roles and Responsibilities:

• Develop brand volume forecasts for both 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.

• Perform sensitivity analyses to identify opportunities and manage risks, enhancing forecast accuracy.

• Collaborate as a key stakeholder in cross-functional teams (marketing, finance, MMD, HHI, RCL) 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 (marketing, finance, RCLs, HHI, MMD, market access) 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.

Key Competencies:

• Strong business analysis skills with experience in requirement elicitation, data management, change management, and presentation.

• Knowledge of Long Range Forecasting process.

• Excellent communication, facilitation, and stakeholder management skills.

• Therapeutic area-specific knowledge and pharma experience.

• Basic Python coding skills.

Minimum Qualifications:

• Degree with relevant work experience 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.

Preferred Qualifications:

• Relevant analytical experience in 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.