AD, Business Analytics (Remote)

As an employee of Boehringer Ingelheim, you will actively contribute to the discovery, development, and delivery of our products to our patients and customers. Our global presence provides opportunity for all employees to collaborate internationally, offering visibility and opportunity to directly contribute to the companies' success. We realize that our strength and competitive advantage lie with our people. We support our employees in several ways to foster a healthy working environment, meaningful work, diversity and inclusion, mobility, networking, and work-life balance. Our competitive compensation and benefit programs reflect Boehringer Ingelheim's high regard for our employees.

The Business Analyst 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 will be responsible for sophisticated analytics for projects including leading the analysis, segmentation, interpretation, and predictive modeling of patient support program data to drive strategic decision-making and optimize program effectiveness. This role involves collaborating with cross-functional teams to ensure that patient support initiatives are data-driven, impactful, and aligned with organizational goals.

Responsibilities for this role include the conducting and interpretation of advance analytics to support decision making on Patient Support Programs (Clinical Education, Reimbursement Support, Copay), supporting brand planning and serving as inputs to the forecasting process.

Duties & Responsibilities

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  Conducts advanced analytics to brand teams/Patient Support in support of brand planning and promotional resource allocation, resource allocation in customer channels including digital and evolution of commercial model.

  Liaises between Patient Support, Data Governance & Brand Marketing in the development of advanced analytics tactics and strategies.

  Responsible for leading the development of segmentations, cohorts and advanced analytics strategies that are aligned with business strategy.

  Responsible for executing departmental procedures and collaborating within the organization to ensure the analytics strategy is aligned to Patient Support strategy and goals for our Patient Service programs.

  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 Patient Services vendors with others in the department.

  Establishes work habits to support the therapeutic business function's evolving process and execution needs.

Requirements

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  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 predictive modeling and next best action suggestions.

  Proficiency in customer identification and segmentation that has influenced by Patient Support Program Business Partners.

  Experience in analyzing Patient outcomes as they enroll into Patient Support programs and Specialty Pharmacies

  Experience in understanding customer needs, incorporating in deliverable, and ensuring recommendations/results and implemented.

  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 strongly preferred.

  Experience in Specialty and Rare Disease therapeutics strongly preferred.
  

  
  Eligibility Requirements:

  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.