Strategic Forecasting Role , Pharma

  • 6-8 yrs
  • Not Disclosed

Job Description

This role is for a seasoned Pharma forecaster who will develop product,specific short,term and long,term forecasts models and maintain up,to,date forecast models, reflecting current data, information, assumptions. In addition, the individual will have responsibility to develop forecasts for focused therapeutic areas using patient based forecast models, and ensure alignment on forecast assumptions and other critical analytical assessments with client business partners including Marketing, Sales, Market Access and Pricing, Market Research, Global Marketing and Insight, Finance, and Sales Operations.Roles and Responsibilities :, Ensuring 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., 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., 6+ years of analytical experience, 3+ years of 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., Strong technical experience in Time series modelling;Preferred qualifications :, Experience in Python,R,SAS good to have, Strong technical experience in MS Office , Must be an advanced user of PPT and Excel, Strong 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.).Education:, M Pharma (or B.pharm + 2yrs relevant work experience), Masters in Business Administration or, Master's (or Bachelor's +2yrs relevant work experience) in engineering or, Master's degree in Statistics, Data Science, Applied Mathematics, Business Analytics, or any other Quantitative discipline