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Data Product Analyst Co-Op

Job in Johns Creek, Fulton County, Georgia, USA
Listing for: Boehringer Ingelheim GmbH
Full Time position
Listed on 2026-09-10
Job specializations:
  • IT/Tech
    Data Analyst, IT Business Analyst, Business Systems & Technology Analysis, Data Scientist
  • Business
    Data Analyst, Business Systems & Technology Analysis, Data Scientist
Salary/Wage Range or Industry Benchmark: 20 - 30 USD Hourly USD 20.00 30.00 HOUR
Job Description & How to Apply Below
Position: Data Product Analyst Spring 2027 Co-Op

Boehringer Ingelheim is currently seeking a talented and innovative Intern to join our Data Strategy Office, AH Commercial Excellence, located at our Johns Creek, GA facility. As a Data Product Analyst Intern, you will support the Data Products team in advancing our portfolio of data solutions and enabling business value through data, analytics, and emerging AI capabilities.

This role provides hands-on experience in data product management, analytics, agile delivery, stakeholder engagement, and innovation. You will gain exposure to how data products are discovered, developed, governed, scaled, and adopted across the business while partnering with users to solve real business challenges and identify opportunities for continuous improvement.

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 opportunities for employees to collaborate internationally, gain visibility, and directly contribute to the company's success.

Duties & Responsibilities
  • Assist with intake, documentation, prioritization, and tracking of data product requests and enhancement opportunities.
  • Support backlog management, sprint planning, release tracking, and agile delivery activities.
  • Conduct data analysis and exploratory research to identify trends, uncover insights, and support product decisions.
  • Help maintain product documentation, Confluence pages, JIRA work items, dashboards, scorecards, and roadmaps.
  • Partner with product managers, engineers, analysts, data scientists, and business stakeholders to gather requirements and improve data products.
  • Assist in user acceptance testing (UAT), data validation, and quality assurance activities.
  • Monitor data product usage, adoption, and performance metrics, providing recommendations for continuous improvement.
  • Document business processes, best practices, data definitions, workflows, and user feedback.
  • Support the creation of dashboards, reports, and product performance scorecards that communicate business value and usage trends.
  • Participate in stakeholder interviews, workshops, and product discovery sessions to better understand user needs and business objectives.
  • Explore and apply Generative AI (GenAI) capabilities to address business challenges, improve data product experiences, automate workflows, and identify innovative opportunities for value creation.
  • Assist with rapid prototyping and proof-of-concept activities to evaluate new data, analytics, and AI-enabled solutions.
  • Act as a trusted partner to user communities by helping identify pain points, gathering feedback, and recommending solutions that drive adoption and business impact.
  • Develop a product management mindset by helping define success metrics, evaluate product performance, prioritize opportunities, and improve user experience.
  • Research industry trends, emerging technologies, data product best practices, and AI innovations to support continuous improvement and innovation.
Requirements

Requirements:

  • Must be a current undergraduate, graduate or advanced degree student in good academic standing
  • Student must be enrolled at an accredited college or university for the duration of the internship/co-op
  • Overall cumulative minimum GPA from last completed quarter/semester 3.0 GPA (on a 4.0 scale) preferred
  • Major or minor in related field of internship/co-op
  • Undergraduate students must have completed at least 12 credit hours at current college or university
  • Graduate and advanced degree students must have completed at least 9 credit hours at current college or university

Desired Experience,

Skills and Abilities:

  • Pursuing a degree in Analytics, Data Science, Information Systems, Business Analytics, Computer…
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