Pharma Forecasting - Senior

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Job Title: Pharma Forecasting Specialist

Job Summary:

We are seeking a highly skilled Pharma Forecasting Specialist to join our team. This role involves being a key stakeholder in a cross-functional team responsible for forecasting at global, country, and region levels based on need. The ideal candidate will have strong forecasting skills of around 6-8 years, therapeutic area (TA) and pharma experience, and the ability to recommend assumptions, create concept notes, and develop presentations. Basic Python coding skills are also required

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:

• Bachelors 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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