Quality Analytics & Innovation Intern — Next-Gen Battery Ops

BMW Group; Woodruff (SC); On-site; USD 27,552 - 34,440; Full time

Job summary

BMW Manufacturing Co., LLC is offering a Quality Analytics and Innovation Intern Spring 2027 on-site opportunity. The role focuses on supporting quality equipment planning, process development, and investment projects for a next-gen battery production line.

You will collaborate with engineers, participate in project evaluations, and contribute to continuous improvement initiatives. Applicants should be pursuing an engineering, data science, or statistics degree, have strong analytical skills,

Qualifications

• Engineering or data-related degree required.
• Strong analytical and problem-solving skills.
• Familiarity with Python or SQL data manipulation.
• Familiarity with Tableau or Power BI data visualization.
• Ability to work independently and take initiative.
• Must attach unofficial transcript.

Responsibilities

• Support planning and realization of quality equipment and processes for a next gen battery production line.
• Assist with project evaluations by identifying gaps, dependencies, resources, risk and financial impacts.
• Coordinate, procure, implement and/or provide technical support for new equipment installations and investments.
• Support contractor activities in engineering, installation, commissioning, documentation, and sign-off of new equipment projects.
• Assist with quality checks and prepare quality documentation.
• Maintain project cost targets and budget forecasts.

Skills

Analytical thinking

Problem solving

Independent work

Python/SQL familiarity

Data visualization (Tableau/Power BI)

Education

Engineering / Data Science / Statistics or related

Tools

Python

SQL

Tableau

Power BI

Job description

BMW Manufacturing Co., LLC is offering a Quality Analytics and Innovation Intern Spring 2027 on-site opportunity. The role focuses on supporting quality equipment planning, process development, and investment projects for a next-gen battery production line.

You will collaborate with engineers, participate in project evaluations, and contribute to continuous improvement initiatives. Applicants should be pursuing an engineering, data science, or statistics degree, have strong analytical skills,