Business/Data Analyst

Boehringer Ingelheim is seeking a Business/Data Analyst to support customer groups and therapeutic areas through advanced statistical and pharmaceutical industry analytics. The role conducts marketing mix modeling, ROI analyses, customer segmentation, predictive modeling, and digital analytics to inform promotional strategies, brand planning, resource allocation, and forecasting.

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

Preferred

Experience analyzing large, deidentified patient claims data sets

Experience in Metabolic therapeutic areas such as CardioRenal Metabolic (e.g. Chronic Kidney and Hearth Failure)

Experience working within a large pharmaceutical manufacturer

Patient Claims Data Analysis

Cardiorenal Metabolic Therapeutic Areas

Chronic Kidney Disease

Heart Failure

Pharmaceutical Industry Experience

Company

Pharmaceutical company for human and animal health.

Ingelheim Am Rhein, Rheinland-Pfalz, DEU

https://www.boehringer-ingelheim.com/

Founded in 1885

10001+ employees

Qualifications

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

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

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 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

Ability to manage multiple projects at the same time

Experience analyzing large, deidentified patient claims data sets

Experience in Metabolic therapeutic areas such as CardioRenal Metabolic (e.g. Chronic Kidney and Hearth Failure)

Experience working within a large pharmaceutical manufacturer

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

Master's degree and five (5) years of experience with relevant data sources and analytical methodologies.

Required skills

Large Deidentified Patient Claims Data Analysis, Pharmaceutical Industry, Cardiorenal Metabolic Therapeutic Areas, Multivariate Analysis, Promotional Responsiveness Analysis, Digital Analytics, Campaign Analytics, R, Python, SAS, SQL, Excel

Preferred skills

Glassdoor, 4.0, Ingelheim Am Rhein, Rheinland-Pfalz, DEU, https://www.boehringer-ingelheim.com/, H1B Sponsorship, Data Powered by, Distribution of Different Job Fields Receiving Sponsorship, 31, Represents job field similar to this job, Management and Executive, Engineering and Development, Legal and Compliance, Customer Service and Support, Sales, Trends of Total Sponsorships, *2026, (6), 2025, (13), 2024, (4), 2023, (11), 2022, (7), 2021, (17), 2020, (1), Late Stage

Experience

5+ years