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Position: Data Scientist, Ophthalmology Brand Analytics
Institution: Astellas Pharma US, Inc.
Location: Northbrook, Illinois, United States
Duties: The Data Scientist, Ophthalmology Brand Analytics plays a critical role in providing valuable strategic business insight and actionable recommendations to global and priority Commercial Division/markets to support achievement of brand objectives for priority/strategic products. This position is responsible for assessing performance on an ongoing and ad hoc basis to identify new business opportunities and insights and advise key stakeholders on how best to leverage the opportunities. In addition to providing sound counseling and objective interpretation of data to the stakeholders in global and regional commercial functions
Requirements: Bachelor’s degree in business-related field; Minimum 6 years of pharmaceutical analytics, operations or related experience required that includes data analysis and reporting, or six years with Masters degree and related experience required, with demonstrated success in managing projects of increasing size and complexity; Proficiency in coding language (e.g. SQL, SAS, R, or Python)
   
Text: Data Scientist, Ophthalmology Brand Analytics The Data Scientist, Ophthalmology Brand Analytics plays a critical role in providing valuable strategic business insight and actionable recommendations to global and priority Commercial Division/markets to support achievement of brand objectives for priority/strategic products. This position is responsible for assessing performance on an ongoing and ad hoc basis to identify new business opportunities and insights and advise key stakeholders on how best to leverage the opportunities. In addition to providing sound counseling and objective interpretation of data to the stakeholders in global and regional commercial functions Bachelor’s degree in business-related field; Minimum 6 years of pharmaceutical analytics, operations or related experience required that includes data analysis and reporting, or six years with Masters degree and related experience required, with demonstrated success in managing projects of increasing size and complexity; Proficiency in coding language (e.g. SQL, SAS, R, or Python)
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