Job Description

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. The 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 include the conducting and interpretation of advance analytics to support decision making on promotional strategies and effectiveness (ROI and Marketing Mix analysis), support brand planning/field force evolution activities and serve as inputs to the forecasting process.

Duties & Responsibilities:

• Conduct advanced analytics to brand teams/customer channels in support of brand planning and promotional resource allocation, resource allocation in customer channels and evolution of commercial model.
• Liaison between Marketing and Sales in the development of business tactics and strategies
• Responsible for leading the development of targets and segments that are aligned with business strategy.
• Responsible for executing departmental procedures and collaborating within the organization to ensure the marketing strategy is integrated into delivered sales force call plans.
• Work with internal customers to assure that responsible analytical results are communicated and used effectively.
• Build and share knowledge of analytical methodologies and high quality vendors with others in the department.
• Establish work habits to support the therapeutic business function's evolving process and execution needs.

Skills Required:

• 5+ years experience and a proficiency in the development, documentation and communication of analytical plans within the Pharmaceutical industry
• Experience with R, Python, SQL and cloud (AWS or Azure or Snowflake)
• Experience with AI is a nice to have
• Experience in data modelling

Education:

• Bachelor's degree from an accredited institution in Mathematics, Statistics, Engineering, Business/Data analytics, or a related equivalent and seven (7) years of analytic experience with relevant data sources and digital analytical methodologies, or a Master's degree from an accredited institution in Mathematics, Statistics, Engineering, Business/Data analytics, or a related equivalent and five (5) years of experience with relevant data sources and analytical methodologies.