Responsibilities

·         Ensure objectivity of brand/therapeutic area forecasts through establishing objectives aligned around forecast accuracy

·         Developing brand volume forecasts, both short-term and long-term, to feed into strategic and operational planning processes

·         Perform sensitivity analysis to assist in opportunity identification and risk management

·         Undertake strategic long-term brand and franchise forecasting and provide strategic perspective/guidance on portfolio and brand strategy, as well as new product introduction volume forecasting and guidance

·         Develop a deep understanding of customers' data and analytical needs focusing on the customer-facing model leadership

·         Solve brand-level analytical problems using quantitative approaches

·         Review sales performance, insights data, key initiatives, and new launches with brand and customer teams to ensure robust plans are in place and being executed

·         Develop and maintain key collaborative relationships with internal cross-functional and external partners to initiate and obtain relevant data and analysis for forecast inputs

·         Confidently present and defend forecast approach, methodology, assumptions, and output at the executive level

·         Recommend and lead initiatives dedicated to the advancement and implementation of new forecast approaches and methodology

·         Provide increased focus on analytics and emphasize on providing valuable insights to drive improvement opportunities

·         Monitor the external environment to stay up to date on leading analytic capabilities, both within and outside of pharma, which can be applied within the organization

Qualifications

Minimum qualifications

• M Pharma (or B.Pharm + relevant work experience), MBA or master’s (or Bachelor’s + relevant work experience) in engineering or master’s degree in Statistics, Data Science, Applied Mathematics, Business Analytics, or any other Quantitative discipline

·         Relevant analytical experience, relevant pharmaceutical forecasting experience.  

·         Experience in strategic forecasting and new product launch is required.

·         Experience in standard datasets in the Pharmaceutical Industry e.g., IQVIA (MIDAS, DDD NPA, Xponent, etc.), claims data (Truven, Marketscan), Epidemiological data, etc

·         Good understanding of primary market research, advanced analytics, and competitive intelligence

·         Good technical experience in Time series modeling

·         Experience in working with large datasets, derive insights, and present information through visualization and reports

Preferred qualifications

·         Experience in Python/R/SAS good to have

·         Technical experience in MS Office – Must be an advanced user of PPT and Excel 

·         Good verbal and written communication skills

·         Ownership of tasks assigned without supervisory follow-up

·         Pro-active and enthusiastic to take on new challenges

·         Personal drive and positive work ethic to deliver results within tight deadlines and in demanding situations 

·         Proactive planner and can work independently to manage own responsibilities

·         Break traditional patterns of thought by generating and recognizing imaginative, workable solutions to business situations and problems

·         Capability in applying deeper technical skills and knowledge that is shared across the functional area (e.g., deep knowledge of key data sets, modeling capabilities, etc.)