Assistant Manager- Pharma Forecasting
1 month ago
The aim of our Forecasting Center of Excellence is to establish industry-leading capabilities across the core area of Forecasting, business planning, and insight generation It will demonstrate, reapply, and advance methodologies in capabilities and operations from Global and US more broadly across geographies and Industries. The CoE also seeks to scale and deploy these capabilities in a highly efficient manner so that continuous innovation can be pursued
This for a credible Pharma forecaster who will develop short and long-term forecasts models and maintain them to reflect current data, information and assumptions. You need to seek key business issues that impact short-term and long-range product and market forecasts. Clearly and pro-actively surface these issues, incorporate the results of primary research into the forecast model(s) to reflect anticipated risks and opportunities on sales outlook by working with client partners.
The candidate will also work with our Forecasting CoE and help implement the new market trends and other innovations including and not limited to application of groundbreaking ML algorithms. You also need to gain deeper insights into forecasting and sales drivers, driving automation of existing systems to reduce data leakage, sought at growing the accuracy and efficiency of the models.
Key Requirements/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 cultivate 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 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.
Seek brand-level analytical problems using quantitative approaches.
Break traditional patterns of thought by generating and recognizing imaginative, workable solutions to business situations and problems.
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.
Provide increased focus on analytics and emphasize on providing valuable insights to drive improvement opportunities.
Experience in working with large datasets, derive insights and present information through visualization and reports.
Minimum Qualifications
M Pharma, Masters in Business Administration
Master’s or (bachelor’s relevant work experience) in engineering
Master’s degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field;
An interest in, and some exposure to, one or more of the following tools and techniques, SQL, Tableau, Alteryx, Natural Language Processing (NLP), Data processing and basic statistical methods required.
Should be familiar with concepts of Machine Learning/Statistical Learning and AI and their application cases.
Preferred Qualifications
Relevant analytical experience in Health Care and Lifesciences Industry including experience in product forecasting. In-depth knowledge of forecasting techniques and use of different forecast models and approaches.
Experience in forecasting new product launch is required.
Experience utilizing a range of analytics involving standard data in the Pharmaceutical Industry e.g. IQVIA (MIDAS, DDD NPA, Monthly Xponent), claims data (TRUVEN, Marketscan), Epidemiological data etc
Good understanding of primary market research, sophisticated analytics, and competitive-intelligence.
Expertise in statistical/econometric/machine learning models like Time series modeling, regression etc.
Expertise in analytical tools like Python/R/SAS
Experience in MS Office – Must be a sophisticated user of PPT and Excel
Proficient verbal and written communication skills
Ownership of tasks assigned without supervisory follow-up
Pro-activeness and passion to tackle new challenges
Personal drive and positive work ethic to deliver results in demanding situations
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