Job Description
Sponsorship : GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE.
Work Arrangement:
This role is categorized as hybrid. This means the successful candidate is expected to report to the office four times per week or other frequency dictated by the business.
Global Manufacturing Engineering at GMTCI is a bridge between Global Manufacturing Plants & Global Product Engineering in getting the Product & Process Right. GMTCI’s strategy is to “Execute Design / Simulation / Virtual / Engineering Workshare for the Globe + Enable Factory for the Future”
This position of Manufacturing Data Analytics Engineer is a Mfg 4.0 initiative in ME Vehicle Systems Automation Group which is primarily responsible for applying D ata A nalytics techniques on GM manufacturing processes in GM manufacturing plants across the globe to solve complex manufacturing business problems with big data. In this position , the engineer supports critical business operations and decision making through creation domain data exploration, data processing pipeline , and business intelligence reports .
This is primarily a non-travel job. Business t ravel will be necessary on special requirements and will be for a short duration. Depending on the need, there will be an International Short-Term assignment for 6 months in the first year for training & development.
What You'll Do
Collaborate with plant teams, SMEs, IT departments, and the analytics community to capture, prioritize, and document data analytics requirements, driving measurable results.
Extract data using existing IoT solutions and big data sources , conduct thorough analysis, perform testing, and validate outcomes.
Your Skills & Abilities (Required Qualifications)
Masters / Bachelor's Degree in Automotive technology, Mathematics, Statistics, Computer Science, or information technology.
4-10 years of experience in any Automotive company or Data Analytics environment.
Expert in data analysis, including identifying patterns, extracting valuable insights, and providing data-driven recommendations to support decision-making.
Experienced in working with data pipelines, PowerBI , SQL queries , Git, Databricks, Azure cloud services , and DevOps/ MLOps / LLMOps .
Familiarity with automotive production processes, industrial automation, throughput analysis, and industrial engineering is considered an added advantage.
Strong organizational, planning, and prioritization skills, with a meticulous approach to project execution.





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