AD/Sr. AD, Business Analytics (Remote)

Boehringer Ingelheim is a global leader in the pharmaceutical industry, and they are seeking an Associate Director/Senior Associate Director in Business Analytics. This role involves conducting advanced analytics to support marketing and sales strategies within the oncology therapeutic area, utilizing statistical methodologies to measure marketing impact and optimize promotional resource allocation.

Responsibilities:

• Conducts advanced analytics to brand teams/customer channels 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 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 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
• Document analytical insights and communicate them appropriately
• Successful coordination with other functions and within cross functional teams is necessary for success in this position
• Attaining brand's budget goals; Insights driving timely course corrections for flawless execution driving sales; Disruptive Analytics challenging status quo resulting in best in class capability of our assets

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
• Proficiency in the development, documentation and communication of analytical plans
• Proficiency in advanced analytical techniques including multivariate analytical and promotional responsiveness techniques
• Proficiency in customer identification and segmentation that has influenced marketing and sales strategy
• Experience in conducting digital analytics (non-personal marketing tactics such as email, banner, mobile and alerts) or working in another analytical field with a demonstrated passion for digital technology
• Experience in using claims data to conduct patient data analytics, including but not limited to patient flow analyses, to better understand the patient journey
• Experience in analyzing campaigns and performing in-campaign analytics to improve performance and working with Consumer marketing databases
• Experience in understanding customer needs, incorporating in deliverable, and ensuring recommendations/results and implemented
• Experience in coordinating insights from disparate functions and sources, e.g., marketing research, forecasts, etc., into a comprehensive and insightful analysis and/or recommendation
• 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
• Expertise in Oncology and/or Rare Disease required
• Ability to manage multiple projects at the same time
• Bachelor´s degree from an accredited institution required
• Master´s/PhD preferred
• BS/BA in Mathematics, Statistics, Engineering, Business/Data analytics, or a related equivalent with eight (8) years, or Master's degree in Mathematics, Statistics, Engineering, Business/Data analytics, or a related equivalent with six (6) years of healthcare/pharmaceutical industry or academic experience
• Experience must also include working directly with product targeting, segmentation, digital media data reporting, claims data analysis, and promotion-response modeling
• Strong statistical background with extensive modeling experience
• Proficiency in SAS and other data extraction and analytical tools such as SQL
• Strong interpersonal abilities, can manage multiple projects and direct reports at the same time
• Functional competencies: Analytical skills, Business orientation, influence
• Must be legally authorized to work in the United States without restriction
• Must be willing to take a drug test and post-offer physical (if required)
• Must be 18 years of age or older