Lead Associate - Data Forecasting - Pharma

PFB Job Description,

Functional Criteria:

- The candidate should have prior experience in global pharma analytics setting involving a variety of work streams such as commercial analytics, forecasting, etc

- Should have in-depth knowledge of various forecasting methodologies and thorough understanding of complexities involved

- Should have a structured thought process to create proper scope or defining the problem statement and communicate effectively to the stakeholders

- The candidate should have prior experience in developing an epidemiology-based forecast for pipeline and launched Oncology medicines

- Should have in-depth knowledge of various forecasting methodologies and thorough the understanding of oncology complexities involved (market/ disease/ therapy)

- Should have a structured thought process to create proper scope or defining the problem statement and communicate effectively to the stakeholders

- Should be able to demonstrate critical and innovative thinking in ways of working

- Should manage tight delivery timelines and work in a matrix reporting environment

- Should have previous work experience in handling structured a semi-structured commercial data sources pertaining to sales/ volume/ price/ promotional/ patient data enabling to connect the dots and use the data effectively in supporting/validating the hypothesis

- Have excellent working knowledge in building forecast models in Excel

- Ability to comprehend and recommend the application of new digital technologies

- Should be able to demonstrate critical and innovative thinking in ways of working

- Should manage tight delivery timelines and work in a matrix reporting environment

- Should have previous work experience in handling structured an semi-structured commercial data sources pertaining to sales/ volume/ price/ promotional/ patient data enabling to connect the dots and use the data effectively in supporting / validating the hypothesis