STUDENT CO-OP, Transformation System Data (Athens, GA, United States, Georgia)
We couldn't confirm this posting on Boehringer Ingelheim's site in our latest checks -- see current similar openings below.
About this opportunity
Description
Boehringer Ingelheim is currently seeking a talented and innovative Intern to join our Transformation department located at our Athens facility. As an Intern, you will analyze existing manufacturing and business system data to identify trends, gaps or opportunities for 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 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
At Boehringer Ingelheim we create value through innovation with one clear goal: to improve the lives of patients. We develop breakthrough therapies and innovative healthcare solutions in areas of unmet medical need for both humans and animals. As a family owned company we focus on long term performance. We are powered by 50,000 employees globally who nurture a diverse, collaborative and inclusive culture. Learning and development for all employees is key because your growth is our growth.
Want to learn more? Visit boehringer-ingelheim.com and join us in our effort to make more health.
Boehringer Ingelheim, including Boehringer Ingelheim Pharmaceuticals, Inc., Boehringer Ingelheim USA, Boehringer Ingelheim Animal Health USA Inc., Boehringer Ingelheim Animal Health Puerto Rico LLC and Boehringer Ingelheim Fremont, Inc. is an equal opportunity and affirmative action employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; citizenship status, marital, domestic partnership or civil union status; gender, gender identity or expression; affectional or sexual orientation; pregnancy, childbirth or related medical condition; physical or psychiatric disability; veteran or military status; domestic violence victim status; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by applicable federal, state or local law.
Duties & Responsibilities
Support manufacturing operations through basic data analytics and system review activities
Analyze existing manufacturing and business system data to identify trends, gaps, or opportunities for improvement
Assist in the development of data visualizations using tools such as Tableau and/or Power BI
Support basic workflow automation or system integration efforts using Power Automate and Power Apps
Collaborate with site stakeholders to understand data needs and reporting requirements
Document findings, assumptions, and recommendations in a clear and organized manner
Participate in project planning activities, including scope definition and milestone tracking
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
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.
Desired Skills, Experience and Abilities
Strong interest or foundational experience in Information Technology (IT) or data‑driven problem solving
Familiarity with data visualization tools such as Power BI or Tableau
Exposure to Microsoft tools including PowerApps, Power BI, Power Automate, Excel, PowerPoint, Teams, and SharePoint
Prior academic or project experience working with datasets, dashboards, or system data is a plus
Analytical thinking with the ability to interpret and summarize data
Basic technical aptitude with the ability to learn new software tools quickly
Strong communication skills, both written and verbal
Ability to work independently while also collaborating with mentors and cross‑functional partners
Organized approach to managing tasks, documentation, and project deliverables
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Job details
How this role compares
Computed from every other active Data & Digital role in our database, not just this employer's listings.
We currently track 77 comparable Intern/Fellow/Postdoc Data & Digital roles across 25 biopharma companies.
Salary context
10 of 77 peers report a salary range (USD, annualized)
Peers share this role's job function and a matching or adjacent seniority level -- not necessarily the same therapeutic area or country.
Where these roles are based
Top locations among the 77 comparable roles
+ 11 more countries
Seniority mix
77 of 77 peers have a known seniority level
Therapeutic area mix
1 of 77 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden
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How we calculate "similar"
No black box, no LLM guesswork: a deterministic score built from four normalized attributes. Here's this role's own peer group at different match levels, so you can see the mechanism, not just the result.
Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.
0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.