Strategic Forecasting Role - Pharma Analytics

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, brand strategy, and 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.

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

Desired Profile:

Candidate Skills and Experience

- 3+ years of 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.

- 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 about taking 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 greater technical skills and knowledge that is shared across the functional area (e.g., deep knowledge of key data sets, modelling capabilities, etc.).