AD/Sr. AD, Business Analytics - Oncology (Remote)

Compensation Data

The base salary range for this position is $170,000 to $269,000. The position may be eligible for a role specific discretionary bonus, relocation, and/or other compensation elements. We continuously review market data and may adjust salary ranges as needed in the future. Actual compensation will be based on job-related factors such as skills, experience, and qualifications, and other factors permitted by law. For an overview of our benefits please click here. (https://www.boehringer-ingelheim.com/us/careers/explore-our-company/benefits-rewards)

Description

The Associate Director, Business Analytics role supports multiple customer groups within the oncology therapeutic area & 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, including claims data. This role requires using sophisticated analytics for projects including marketing mix modeling, ROI analyses on all relevant marketing programs/customer channels and promotional spends, patient data analytics such as patient flow analyses, non-personal promotion/digital analytics and reporting, customer profiling, targeting, and segmentation, and predictive modeling.

Responsibilities for this role include the conducting and interpretation of advanced analytics to support decision making on promotional strategies and effectiveness (ROI and Marketing Mix analysis), supporting brand planning through targeting, segmentation, and non-personal/digital activity tracking, and setting up experimental pilots to support testing and learning.

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 a number of ways to foster a healthy working environment, meaningful work, mobility, networking and work-life balance. Our competitive compensation and benefit programs reflect Boehringer Ingelheim´s high regard for our employees

Duties & Responsibilities

• Accountabilities

• 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. Regulatory and/or Organizational Requirements:

• Document analytical insights and communicate them appropriately. Job Complexity:

• Successful coordination with other functions and within cross functional teams is necessary for success in this position

• Interfaces: Brand Teams, Other Marketing Teams, Forecasting, Marketing Research and Business Intelligence, Commercial Operations, Sales, etc. Job Expertise:

• Database proficiency (R/Sql/Python/SAS, strong statistical and analytical skill along with adapting to the business. Job Impact:

• 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

• AD 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. Sr.AD

• 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. Experience with Excel and Power Point.

• Strong interpersonal abilities, can manage multiple projects and direct reports at the same time.

• Functional competencies: Analytical skills, Business orientation, influence

• Expertise in Oncology and/or Rare Disease required.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.

JOB ID

35027

Job function

Analytics, forecasting & insights

Career level

Experienced professionals

Organization

BI Pharmaceuticals, Inc.

Working time

Full-Time

Job flexibility

Remote

Boehringer Ingelheim is an equal opportunity global employer who takes pride in maintaining a diverse and inclusive culture. We embrace diversity of perspectives and strive for an inclusive environment, which benefits our employees, patients, and communities. All qualified applicants will receive consideration for employment without regard to a person’s actual or perceived race, including natural hairstyles, hair texture and protective hairstyles; color; creed; religion; national origin; age; ancestry; citizenship status, marital status; gender, gender identity or expression; sexual orientation, mental, physical or intellectual disability, veteran status; pregnancy, childbirth or related medical condition; genetic information (including the refusal to submit to genetic testing) or any other class or characteristic protected by applicable law