The Business Analytics role supports multiple customer groups and/or therapeutic areas & will be an expert in statistical methodologies for measuring marketing impact, will have a broad understanding of the pharmaceutical industry and a deep familiarity with industry data sources. This role requires using sophisticated analytics for projects including marketing mix modeling, ROI analyses on all relevant marketing programs/customer channels and promotional spends, customer profiling and segmentation, and predictive modeling.  

Responsibilities for this role include the conducting and interpretation of advance analytics to support decision making on promotional strategies and effectiveness (ROI and Marketing Mix analysis), supporting brand planning/field force evolution/non-personal digital/virtual activities and serving as inputs to the forecasting process.

Duties & Responsibilities

• Conducts advanced analytics in support of brand planning and promotional resource allocation, resource allocation in customer channels including digital and evolution of commercial model.
• Liaises between Marketing and Sales in the development of business tactics and strategies
• Responsible for executing departmental procedures and collaborating within the organization to ensure the marketing strategy is integrated into delivered sales force call plans for both in person and virtual / non-personal digital, telephone plans etc.
• Works with internal customers to assure that responsible analytical results are communicated and used effectively.
• Builds and shares knowledge of analytical methodologies and high-quality vendors including third party digital agencies with others in the department.
• Establishes work habits to support the therapeutic business function's evolving process and execution needs.

Requirements

• Bachelor's degree and seven (7) years of analytic experience with relevant data sources and analytical methodologies.

OR

• Master's degree and five (5) years of experience with relevant data sources and analytical methodologies.
• Experience analyzing large, deidentified patient claims data sets strongly preferred (LAAD or Patient Claims Data)
• Experience working within a large pharmaceutical manufacturer strongly preferred
• Proficiency in the development, documentation and communication of analytical plans.
• Proficiency in advanced analytical techniques including multivariate analytical and promotional responsiveness techniques.
• Proficiency in R/Python and / or SAS and other data extraction and analytical tools such as SQL, etc., Experience with Excel and Power Point.
• Strong interpersonal abilities.
• Ability to manage multiple projects at the same time.
• Must be willing to work regular business hours aligned to the EST time zone