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18/08 Pavana Karkera
Key Account Leader - Recruitment at Contactx Resource Management

Views:2900 Applications:592 Rec. Actions:Recruiter Actions:446

Analytics Role - Forecasting - Pharma (3-12 yrs)

Bangalore Job Code: 1141436

- 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

- 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.

- 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.

- Deftly present and defend forecast approach, methodology, assumptions, and output at the executive level.

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

- 3+ years of analytical experience, Lifesciences Industry including experience in product forecasting. 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.

- Hands-on in analytical tools like Python/R/SAS

- Experience in MS Office - Must be a sophisticated user of PPT and Excel

This job opening was posted long time back. It may not be active. Nor was it removed by the recruiter. Please use your discretion.

Women-friendly workplace:

Maternity and Paternity Benefits

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