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• Starts Aug 11

Quality & Data Analytics Co-Op (Fall 2024)

Logo of BMW Group

BMW Group

15d ago

🚀 Off-cycle Internship


AI generated summary

  • You need an engineering, data science, or statistics degree, analytical skills, Excel proficiency, data manipulation experience with tools like Python or SQL, and the ability to work full-time for this Quality & Data Analytics Co-Op position at BMW Group. Complete 3 alternating work terms and pass a substance abuse test.
  • You will assist with problem solving, data analysis, and tool development to improve quality, vehicle flow management, and launch preparations in a dynamic automotive environment.

Off-cycle Internship



  • Innovation is imagining what’s NEXT when no one else can. Shaping your future starts here, as we believe our Gen>NEXT students are the future leaders of BMW. Our vision is to secure BMW Manufacturing’s excellence by attracting the best of the best. We believe in creating a hands-on environment where you can directly impact the future of mobility. You will be guided and mentored throughout inspiring tasks and projects. As one of our Gen>NEXT students, you will be part of the team from day one and encouraged to add new ideas and value to the business.
  • This is a co-op position which requires three alternating rotations (e. g. 1st rotation: spring, 2nd rotation: fall, 3rd rotation: summer).
  • Support the Assembly Test, Finish 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, vehicle testing & finish, 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.


  • 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 full-time status at an accredited four-year college or university in the United States.
  • Completed at least 30 credit hours at time of application.
  • Ability to complete 3 alternating work terms for Co-op positions.
  • Ability to work full-time (40 hours / week).
  • Transfer students must have a GPA from current university.
  • Complete and pass a substance abuse test before the work term.

Education requirements

Currently Studying

Area of Responsibilities



  • 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.
  • Create process sheets for problem management and data quality activities.
  • Develop a tool for simulating process changes and impacts on vehicle flow, throughput times, and on time delivery and testing implementation where feasible.
  • Develop further use applications for Artificial Intelligence cases in Test, Finish, and Vehicle Launch area.
  • Investigate innovations opportunities related to processes with vehicle and information flow: such as developing a tool for automatic routing of vehicle and shipping.
  • Update co-op manual and onboarding information.
  • Perform exploratory data analysis to identify patterns, correlations and trends
  • Conduct statistical analysis to uncover insights and support decision making processes.
  • Support the implementation and optimization of data analytics tools and processes.


Work type

Full time

Work mode


Start date

Aug 11, 2024