Role Overview:
We are seeking a highly motivated and analytical Pharma Commercial Forecasting professional to join our growing team. In this role, you will develop accurate and insightful forecasts to support strategic decision-making across the product lifecycle. You will leverage your expertise in market research, data analysis, and forecasting methodologies to assess market opportunities, develop long-term plans, and identify potential risks
Key Responsibilities:
Market and Opportunity Assessments:
Conduct Robust market and opportunity assessments to identify growth opportunities and market trends for product launches, portfolio management, and business development strategies.
Forecasting Models:
Develop and maintain robust forecasting models using methodologies such as time series analysis, analogy forecasting, and market sizing techniques. Experience with Python and SQL is a plus.
Data Analysis:
Utilize industry-standard databases (e.g., IQVIA) and internal data sources to analyse market trends, competitor activity, and customer behaviour.
Sales Forecasts:
Create accurate short-term and long-term sales forecasts to support budgeting, resource allocation, and operational planning, using a combination of qualitative and quantitative data
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Scenario Planning:
Participate in scenario planning and risk assessment exercises to identify potential roadblocks and develop mitigation strategies
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Cross-Functional Collaboration:
Collaborate with cross-functional teams to align forecasting models with business goals
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Communication:
Effectively communicate forecasting results through presentations and reports tailored to different stakeholder audiences
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Process Improvement:
Continuously monitor and improve forecasting methodologies and processes. Enhance and streamline routine processes through standardization and automation to increase efficiency and flexibility
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Research Support:
Provide support with secondary research and analysis; stay informed on the latest therapeutic research, clinical developments, and competitive landscape to inform forecasting activities
