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.
Desired Skills and Experience:
- Extensive experience in business analysis and forecasting within the pharmaceutical industry.
- Strong knowledge of one or more pharma therapeutic area 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 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.
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