Production Quality & Data Analytics Intern (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, 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, and Launch Processes, and Battery / 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.

 

The qualified intern should be expected to:

• Create process sheets for problem management and data quality activities.
• Develop a tool for simulating process changes and impacts on battery flow, throughput times, and on time delivery and testing implementation where feasible.
• Develop further use applications for Artificial Intelligence cases in Test, Finish, and battery Launch area.
• Investigate innovations opportunities related to processes with battery and information flow: such as developing a tool for automatic routing of battery 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.

 

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.
• Must commit to three co-op rotations as an enrolled student.