Semiconductor Supply Chain Data Analytics Lead

generalmotors; Warren (MI); Hybrid; USD 90,000 - 120,000; Full time

Job summary

General Motors is seeking a Semiconductor Supply Chain Data Manager to drive data models and applications that map the supply chain for semiconductors. You will work on cross-functional projects for internal and external customers, focusing on mapping, resiliency, distribution operations and forecasting to secure GM’s semiconductor future.

The role requires analyzing complex data, automating solutions, and presenting data-driven stories to stakeholders from analysts to executives.

Qualifications

• Bachelor's degree required.
• 2+ years in Data Analytics, Supply Chain/Database Management, or Purchasing.
• Ability to analyze data objectively and draw meaningful conclusions.
• Willingness to travel 5–10% domestically and internationally.

Responsibilities

• Work on cross-functional teams to implement data-driven solutions in the semiconductor industry.
• Apply data-driven modeling to inform decisions and solve complex business problems.
• Preprocess structured data and monitor model effectiveness.
• Present complex information using data visualization to stakeholders.

Skills

Data Analytics

Supply Chain Management

Database Management

Purchasing

Data Judgement

Informative Communication

Relationship Management

Negotiation

Analytical Thinking

Results Focus

Travel

Education

Bachelor's Degree

Tools

MS Office

Excel

Power BI

Python

SQL

Job description

General Motors is seeking a Semiconductor Supply Chain Data Manager to drive data models and applications that map the supply chain for semiconductors. You will work on cross-functional projects for internal and external customers, focusing on mapping, resiliency, distribution operations and forecasting to secure GM’s semiconductor future.

The role requires analyzing complex data, automating solutions, and presenting data-driven stories to stakeholders from analysts to executives.