Quality & Data Analytics Co-Op 2 (Summer 2025)

A good student experience is never hands-off. We are dedicated to fostering a dynamic learning environment where students actively engage in practical experiences throughout their time with us. From the beginning, students are entrusted with specific responsibilities, ensuring they play a significant role in their learning journey. As valued team members, students are also encouraged to share and implement their own ideas, enhancing both their personal growth and the collective success of the team.

Description

Support the Assembly Test, Finish, Rework and New Model Launch areas with development of process improvements, innovations, and software tools.  Engage in problem solving related to quality and process flow topics in the department. Work with department management teams to iterate on existing concepts to improve transparency of the quality landscape, F1-F2 and Launch Processes, and Vehicle / Information Flow management.  Also, imagine the next generation of flow concepts and software tools and assess feasibility and potential benefits.  Performs other duties as assigned by management.

Assignment Duties and possible projects

• Quality, Data Analytics, Problem Solving:  Engage in Problem solving in the Department related to KPI impacts and quality.  Develop new ways to display operations data that facilitates a faster and clearer path from problem recognition to solution. Participate in Problem solving activities in department to improve KPI’s and develop new methods and tools.  This may include development of new mobile software or hardware solutions in conjunction with software to streamline the defect documentation process. Develop or enhance tools to improve visibility of plant quality process adherence. Includes interfacing with existing plant quality management IT systems. Also may include suggesting and testing new ideas that don’t yet exist.

• Vehicle Flow Management: Support management and quality teams to develop and enhance existing processes with accompanying software tools to manage offline vehicle flow more efficiently through multiple and complex testing and rework areas. Simplify and save labor required from process supporters by providing smarter tools to detect irregularities or inconsistencies in vehicle routing decisions, in order to support faster resolution, feedback to the sources of such issues, and improve on-time delivery.

• Vehicle Launch Preparations: Support management and quality teams to enhance processes related to production, test, and finish related to New Vehicle Launch processes in the Department.

• Creation of innovative dashboards to quantify, understand and visualize all the intricacies of launching future vehicles in Plant 10.

Qualifications

• Engineering degree (preferably electrical, computer, mechanical, or industrial) / Data Science / Statistics or related field.
• Strong analytical and problem-solving skills with a keen attention to detail.
• Microsoft Excel (experience with VLookup, Macros, PivotTables, etc. preferred).
• Proficiency in data manipulation and analysis utilizing tools such as Python, SQL or similar.
• Preferred experience with data visualization tools such as Tableau, Power BI, etc.
• Detail-oriented.
• Organized.
• Effective Communication skills.
• Possess a minimum cumulative GPA of 3.0 (not just in major)
• Have enrolled student status at an accredited four-year college or university in the United States.
• Completed at least 30 credit hours at time of application.
• Able to complete 3 work terms for Co-op positions.
• Able to work full-time on-site (40 hours / week).
• Transfer students must have a GPA from current university.
• MUST ATTACH A COPY OF UNOFFICIAL TRANSCRIPT.
• Complete and pass a substance abuse test before the work term.
• THE WORK TERM DATES ARE (May 19th - August 8th 2025)

BMW Manufacturing Company is an equal opportunity employer. It is the policy of BMW MC to provide equal employment opportunity (EEO) to all qualified persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.

Employment with BMW Manufacturing, Co., LLC (BMW MC) is at-will and may be terminated at any time, with or without notice, at the option of BMW MC or the employees.