What are the responsibilities and job description for the Fall Co-Op - Data Science /Analytics, Fremont CA position at BI Fremont?
Boehringer Ingelheim is currently seeking a talented and innovative Intern to join our MSAT WT & CV department located at our Fremont facility. As an Intern, you will Perform in depth analysis of process events, build KPI dashboard, and determine whether or not the created CAPA can be applied to other products.
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
The Fall Co-op start dates are July 21, 2025 OR August 4th, 2025 OR August 18th, 2025
Duties & Responsibilities
- Work Cross-functionally with key stakeholders to identify events/deviations associated with West Train and East Train MFG process.
- Create dashboard on events, Root Causes, impacted parameters and CAPAs.
- Determine whether or not the created CAPA can be applied to other products.
- Create work instructions for the dashboard update.
Requirements
- Must be a current undergraduate, graduate or advanced degree student in good academic standing
- Student must be enrolled at a college or university for the duration of the internship
- 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
- 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:
- Computer savvy
- Familiar with creating data visualization dashboard, i.e. Power BI or other data visualization tool is desirable
- Good presentation skills - Authoring and Presenting
- Good Communication and organizational skills
Compensation Data