Job Description

Hybrid: Work physically at General Motors 3 times per week (TUE-THU)

Role:

Perform data analysis and visualization, and apply artificial intelligence for purchasing area.

The candidate must be able to solve problems using Data, developing solutions that are data driven and analytical to be used by others, translate business problems into analytical solutions.

Responsibilities:

• Develop dashboards to support business decisions
• Use Python to perform data manipulation, analysis and automation of workflows
• Utilize SQL to query and manipulate data for various business needs
• Apply data modelling techniques to organize and structure data
• Application of Artificial Intelligence

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Additional Job Description

Requirements:

• Bachelor’s degree in engineering, business administration or related a
• Advanced English
• System analysis or related field with equivalent experience

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About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us 

We aspire to be the most inclusive company in the world. We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Our Work Appropriately philosophy supports our foundation of inclusion and provides employees the flexibility to work where they can have the greatest impact on achieving our goals, dependent on role needs. Every day, we want every employee, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team.

Diversity Information

General Motors is committed to being a workplace that is not only free of discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers.   We understand and embrace the variety through which people gain experiences whether through professional, personal, educational, or volunteer opportunities. 

We encourage interested candidates to review the key responsibilities and qualifications and apply for any positions that match your skills and capabilities.