Quality Data Co-op (Spring 2027)

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 the development of process improvements, innovations, and software tools. Engage in problem solving related to quality and process flow topics within the department. Collaborate 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, envision the next generation of flow concepts and software tools, assessing their feasibility and potential benefits. Performs other duties as assigned by management.Assignment DutiesQuality, Data Analytics, Problem Solving: Engage in problem solving related to KPI impacts and quality. Develop new ways to display operations data that facilitate a faster and clearer path from problem recognition to solution. Participate in problem-solving activities to improve KPIs and develop new methods and tools. This may include developing new mobile software or hardware solutions to streamline the defect documentation process. Develop or enhance tools to improve visibility of plant quality process adherence and interface with existing plant quality management IT systems. Suggest and test new ideas that do not yet exist.Vehicle Flow Management: Support management and quality teams to develop and enhance processes with software tools to manage offline vehicle flow more efficiently through multiple and complex testing and rework areas. Simplify and save labor by providing smarter tools to detect irregularities or inconsistencies in vehicle routing decisions to support faster resolution, feedback to issue sources, and improve on-time delivery.Vehicle Launch Preparations: Support management and quality teams to enhance processes related to production, testing, and finishing in New Vehicle Launch processes.Dashboard Creation: Create innovative dashboards to quantify, understand, and visualize the intricacies of launching future vehicles in Plant 10.Create process sheets for problem management and data quality activitiesDevelop a tool to simulate process changes and impacts on vehicle flow, throughput times, and on-time delivery; test implementation where feasibleFurther develop Artificial Intelligence applications in Test, Finish, and Vehicle Launch areasInvestigate innovation opportunities related to vehicle and information flow processes, such as developing a tool for automatic routing of vehicles and shippingUpdate co-op manual and onboarding informationPerform exploratory data analysis to identify patterns, correlations, and trendsConduct statistical analysis to uncover insights and support decision-making processesSupport the implementation and optimization of data analytics tools and processes.Assignment Training Plan (Technical and Process Skill Development)IPSQ, Quality Analytics, Splunk, etc.Power BI, Apex dashboard developmentSQLMicrosoft Office Products (Word, Visio, Project, etc.)Assignment Development PlanOrganizational skillsCommunication and facilitation skillsPlanning skillsGain insight into TX45 operations: receiving finished products from assembly; responsible for testing, inspecting, reworking, and shipping all vehicles on site. TX45 is the gateway to the customer and must ensure premium quality in a timely manner. Responsible for launching new series, including multiple build phases. Interns will gain added insight into these phases of automotive manufacturing.Qualifications:Engineering degree (preferably electrical, computer, mechanical, or industrial), Data Science, Statistics, or related fieldStrong analytical and problem-solving skills with keen attention to detailProficient in Microsoft Excel (experience with VLOOKUP, Macros, PivotTables, etc. preferred)Proficient in data manipulation and analysis using tools such as Python, SQL, or similarPreferred experience with data visualization tools such as Tableau, Power BI, etc.Detail-oriented and organizedEffective communication skillsPossess a minimum cumulative GPA of 3.0 (not just in major)Enrolled student status at an accredited four-year college or university in the United StatesCompleted at least 30 credit hours at time of applicationAbility to work full-time on-site (40 hours/week)Transfer students must have a GPA from their current universityMUST ATTACH A COPY OF UNOFFICIAL TRANSCRIPTComplete and pass a substance abuse test before the work termWork term dates are January 11th – May 14th, 2027.Must be an enrolled student during all three rotations.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.