Product Launch & Change Analytics Intern

LPU Batangas; Spartanburg (SC); On-site; USD 21,000 - 30,000; Full time

Job summary

LPU Batangas in Spartanburg, SC seeks a student-employee to engage with new product content, verify BOM and demand logic, and develop analytics to improve processes. The role involves cross-department collaboration and on-site work during the Jan–May 2027 term.

The candidate should be pursuing a relevant BS/graduate degree, be proficient in MS Excel, and have the ability to learn SAP/SQL. German language skills are a plus, with GPA ≥3.0 and 30+ credits completed.

Qualifications

• Pursuing a BS or graduate degree in listed fields.
• Proficient in MS Excel and Office Suite.
• Strong computer aptitude with ability to learn BMW Group systems, SAP, SQL, etc.
• Project management and planning skills.
• Enrolled student status with at least 30 credit hours completed; GPA minimum 3.0.

Responsibilities

• Engage with new product content and collaborate across departments.
• Support Launch and Change Coordinators by verifying bill of material and demand logic changes.
• Develop and optimize data analytical systems to improve processes and reporting.
• Create, manage, and validate component overviews for car parts.
• Contribute to Test Car BOM validation to ensure correct parts are assigned to vehicles.
• Support coordination of Line Trials for physical testing in production.
• Investigate design topics through data analysis and generate reports.
• Perform other duties as assigned by management.

Skills

MS Excel

Project management

Planning and organizational skills

Independent work

Initiative

German language skills

Education

BS or graduate degree in Industrial Engineering / Mechanical Engineering / Systems Engineering / Business Administration / MIS / Computer Science

Tools

SAP

SQL

Python

Java

Job description

LPU Batangas in Spartanburg, SC seeks a student-employee to engage with new product content, verify BOM and demand logic, and develop analytics to improve processes. The role involves cross-department collaboration and on-site work during the Jan–May 2027 term.

The candidate should be pursuing a relevant BS/graduate degree, be proficient in MS Excel, and have the ability to learn SAP/SQL. German language skills are a plus, with GPA ≥3.0 and 30+ credits completed.