General Motor

General Motor

Global Purchasing & Supply Chain Data Analyst - Python


Hybrid: This position does not require an employee to be on-site full-time to perform most effectively. The employee's role enables them to work at a GM facility or off-site as frequently as needed or desired. This position requires an employee to be on-site on average 1-3 days per week

The Role: Do you have deep understanding of monetization, data gathering and insights? Have you lead large organizational operations and mentored teams? Do you a real passion for insights? The Business Analytics team is responsible for data gathering, inspecting, cleansing, transforming, and modeling/diagramming techniques.

What You'll Do

  • Collaborate with business, IT, and analytics community to capture, prioritize, and document data analytic requirements and drive measurable results.
  • Creation and implementation of queries, compiling data, manipulated data from separate sources to form unified sets for analysis.
  • Query development to address adhoc and standard reporting request
  • Establishment and maintenance of all internal SharePoint tracking reports
  • Problem Solving activities to help identify gaps in claim to supplier assignment, claim end to end processing (Life of a claim) and system inaccuracies
  • System testing to identify necessary logic corrections
  • Collaborate with global cost recovery teams to align communication and reporting
  • Identify business challenges and develop analytical solutions to optimize business processes.
  • Partner with business teams to understand the requirements of new business initiatives.
  • Present analytical approaches and results to internal audiences by synthesizing complex data and concepts into easy-to comprehend, comprehensive, and cohesive presentations.
  • Additional Description

    Your Skills & Abilities (Required Qualifications)

  • Bachelor's degree in Statistics, Mathematics, Computer Science, Engineering, Operations Research or related field.
  • At least 5 years of hands on experience with BI and Analytics tools required
  • Proficient with analytical/predictive modeling software (Python or R) required.
  • Experience with database and data warehousing platforms (MS Access, SQL Developer, Greenplum, HUE, Hadoop)
  • Must have strong drive for results.
  • Research or experience in data analysis where problems are poorly defined, complex and cross functional and possess uncertainties and multiple objectives
  • Deep understanding of BI tools: Excel, Reporting Tool Consumption (MS Power BI, Cognos, Tableau)
  • Strong business domain knowledge - business analytics, marketing data, automotive and understanding the exponential change within this domain are paramount to success
  • Thrive in a collaborative atmosphere and believe in the power of innovation through differing viewpoints

    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.

    Total Rewards Benefits Overview

    From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

    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. GM is proud to be an equal opportunity employer.

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

    Equal Employment Opportunity Statements

    The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity (EEO) Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at [email protected] or call us at 800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

    Job details


    Global Purchasing & Supply Chain Data Analyst - Python


    General Motor


    United States


    June 11, 2024

    Application deadline

    September 02, 2023

    Job type




    About the employer

    We embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Our diverse team of 164,000 employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion.

    Together, we want to make electric vehicles for everyone and safely push transportation beyond our wildest imaginations with autonomous vehicles and advance hydrogen fuel cell technology. We are proud of our achievements so far, but there is more work to be done. Together, for everyone.


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