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Ernst & Young
posted 6hr ago
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Job Description
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, 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.
Employment Type: Full Time, Permanent
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