Quality Data Co-op (Spring 2027)

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.

Responsibilities

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; Envision the next generation of flow concepts and software tools, assessing their feasibility and potential benefits; Develop new ways to display operations data that facilitate a faster and clearer path from problem recognition to solution; Develop or enhance tools to improve visibility of plant quality process adherence and interface with existing plant quality management IT systems; Support management and quality teams to develop and enhance processes with software tools to manage offline vehicle flow; Support management and quality teams to enhance processes related to production, testing, and finishing in New Vehicle Launch processes; Create innovative dashboards to quantify, understand, and visualize the intricacies of launching future vehicles; 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; Perform other duties as assigned by management.

Requirements

Engineering degree (preferably electrical, computer, mechanical, or industrial), Data Science, Statistics, or related field; Strong analytical and problem-solving skills with keen attention to detail; Proficient in Microsoft Excel; Proficient in data manipulation and analysis using tools such as Python, SQL, or similar; Detail-oriented and organized; Effective communication skills; Possess 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 States; Completed at least 30 credit hours at time of application; Ability to work full-time on-site (40 hours/week); Transfer students must have a GPA from their current university; MUST ATTACH A COPY OF UNOFFICIAL TRANSCRIPT; Complete and pass a substance abuse test before the work term; Work term dates are January 11th – May 14th, 2027; Must be an enrolled student during all three rotations.

Nice to have

Experience with VLOOKUP, Macros, PivotTables, etc.; Experience with data visualization tools such as Tableau, Power BI, etc.