Spring Co-op - Data Management in Manufacturing - Boehringer Ingelheim
St. Joseph, MO
About the Job
Description
This role is 100% based onsite in St. Joseph, MO.
Boehringer Ingelheim is currently seeking a talented and innovative Intern to join our _Department Name_ department located at our _insert your location_ facility. As an Intern, you will _a few sentences describing the basic purpose of the internship_ . 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, diversity and inclusion, mobility, networking and work-life balance. Our competitive compensation and benefit programs reflect Boehringer Ingelheim´s high regard for our employees.
As a Spring Co-op in Data Analytics within our Manufacturing department at Boehringer Ingelheim, you will have the opportunity to apply your data analysis skills in a real-world manufacturing setting. You will assist in optimizing manufacturing processes, improving efficiency, and reducing costs through data-driven insights. This co-op will provide you with valuable experience in data analytics and exposure to the manufacturing sector.
Duties & Responsibilities
+ Assist in collecting, cleaning, and transforming data for analysis
+ Support the development and implementation of data models to optimize manufacturing processes.
+ Conduct exploratory data analysis to identify patterns, trends, and insights that can improve efficiency and reduce costs.
+ Create visualizations and reports to communicate findings effectively to both technical and non-technical stakeholders.
+ Participate in team meetings and contribute to data strategy discussions.
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:
+ Currently enrolled in a Bachelor's or Master's degree program in Data Science, Statistics, computer Science, Manufacturing Engineering, or a related field.
+ Basic understanding of data analysis tools and techniques.
+ Strong problem-solving skills and attention to detail.
+ Ability to work independently and as part of a team.
Desired Skills, Experience and Abilities
+ Passion for data-driven decision making.
+ Excellent communication and presentation skills.
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.
This role is 100% based onsite in St. Joseph, MO.
Boehringer Ingelheim is currently seeking a talented and innovative Intern to join our _Department Name_ department located at our _insert your location_ facility. As an Intern, you will _a few sentences describing the basic purpose of the internship_ . 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, diversity and inclusion, mobility, networking and work-life balance. Our competitive compensation and benefit programs reflect Boehringer Ingelheim´s high regard for our employees.
As a Spring Co-op in Data Analytics within our Manufacturing department at Boehringer Ingelheim, you will have the opportunity to apply your data analysis skills in a real-world manufacturing setting. You will assist in optimizing manufacturing processes, improving efficiency, and reducing costs through data-driven insights. This co-op will provide you with valuable experience in data analytics and exposure to the manufacturing sector.
Duties & Responsibilities
+ Assist in collecting, cleaning, and transforming data for analysis
+ Support the development and implementation of data models to optimize manufacturing processes.
+ Conduct exploratory data analysis to identify patterns, trends, and insights that can improve efficiency and reduce costs.
+ Create visualizations and reports to communicate findings effectively to both technical and non-technical stakeholders.
+ Participate in team meetings and contribute to data strategy discussions.
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:
+ Currently enrolled in a Bachelor's or Master's degree program in Data Science, Statistics, computer Science, Manufacturing Engineering, or a related field.
+ Basic understanding of data analysis tools and techniques.
+ Strong problem-solving skills and attention to detail.
+ Ability to work independently and as part of a team.
Desired Skills, Experience and Abilities
+ Passion for data-driven decision making.
+ Excellent communication and presentation skills.
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.
Source : Boehringer Ingelheim
