<p>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.</p> <p>Description</p> <p>Description:</p> <p>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.</p> <p>The qualified intern/Co-op should expect to contribute & improve in the following functions:</p> <ul> <li>Quality, Data Analytics, Problem Solving: Engage in Problem solving in the Department related to KPI impacts and quality. </li><li>Develop new ways to display operations data that facilitates a faster and clearer path from problem recognition to solution. </li><li>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. </li><li>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. </li><li>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. </li><li>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. </li><li>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 </li><li>Creation of innovative dashboards to quantify, understand and visualize all the intricacies of launching future vehicles in Plant 10. </li><li>Create process sheets for problem management and data quality activities </li><li>Develop a tool for simulating process changes and impacts on vehicle flow, throughput times, and on time delivery and testing implementation where feasible </li><li>Develop further use applications for Artificial Intelligence cases in Test, Finish, and Vehicle Launch area </li><li>Investigate innovations opportunities related to processes with vehicle and information flow: such as developing a tool for automatic routing of vehicle and shipping. </li><li>Update co-op manual and onboarding information </li><li>Perform exploratory data analysis to identify patterns, correlations and trends </li><li>Conduct statistical analysis to uncover insights and support decision making processes. </li><li>Support the implementation and optimization of data analytics tools and processes. </li></ul> <p>Qualifications:</p> <ul> <li>Engineering degree (preferably electrical, computer, mechanical, or industrial) / Data Science / Statistics or related field. </li><li>Strong analytical and problem-solving skills with a keen attention to detail. </li><li>Microsoft Excel (experience with VLookup, Macros, PivotTables, etc. preferred) </li><li>Proficiency in data manipulation and analysis utilizing tools such as Python, SQL or similar </li><li>Preferred experience with data visualization tools such as Tableau, Power BI, etc. </li><li>Detail-oriented </li><li>Organized </li><li>Effective communication skills </li><li>Must be an enrolled student during all three rotations. </li><li>Possess a minimum cumulative GPA of 3.0 (not just in major) </li><li>Have enrolled student status at an accredited four-year college or university in the United States. </li><li>Completed at least 30 credit hours at time of application. </li><li>Ability to work full-time on-site (40 hours / week). </li><li>Transfer students must have a GPA from current university. </li><li>MUST ATTACH A COPY OF UNOFFICIAL TRANSCRIPT </li><li>Complete and pass a substance abuse test before the work term. </li><li>THE WORK TERM DATES ARE August 11th - December 12th, 2025. </li></ul> <p>Quality & Data Analytics Co-Op (Fall 2025)</p> <p>20250314</p> <p>Automotive</p> <p>Spartanburg, SC</p> <p>United States</p> <p>Legal Entity:</p> <p>BMW Manufacturing Co., LLC</p> <p>Spartanburg, SC</p> <p>Job Field:</p> <p>Launch & Change Control</p> <p>Job Id:</p> <p>155060</p> <p>Publication Date:</p> <p>14.03.2025</p> <p>Internship</p> <p>FullTime</p> <p>Print Page</p>