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Business Analyst - Strategic Forecasting

5.00 to 10.00 Years   Pune   11 Jan, 2022
Job LocationPune
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT - Software
Functional AreaStatistics / Analytics
EmploymentTypeFull-time

Job Description

Business Analyst, Strategic ForecastingThis 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.Responsibilities

  • 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
  • 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 we seek in youMinimum qualifications
  • M Pharma (or B.pharm + relevant work experience), MBA or masters (or Bachelor s +relevant work experience) in engineering or masters degree in Statistics, Data Science, Applied Mathematics, Business Analytics, or any other Quantitative discipline
  • Experience in working with large datasets derive insights and present information through visualization and reports
  • Relevant pharmaceutical forecasting experience and analytical 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.
  • Technical experience in Time series modelling
  • Technical experience in MS Office Must be an advanced user of PPT and Excel
Preferred qualifications
  • Experience in Python/R/SAS good to have
  • Good verbal and written communication skills
  • Ownership of tasks assigned without supervisory follow-up
  • Proactive 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.)
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Keyskills :
customer relationsdocumentationrequirementsfunctionalbusiness requirementsnew product launchprimary market researchnew product introductionms office

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