Cost Engineer – Data Analytics

General Motors

Warren, MI, US
Hybrid
Data engineering and etl/elt pipelines
Exploratory data analysis (eda)
Predictive modeling and machine learning
This role focuses on building and maintaining data foundations that power cost analytics initiatives across GM Finance to improve vehicle profitability and program performance

Job Summary

  • This role focuses on building and maintaining data foundations that power cost analytics initiatives across GM Finance to improve vehicle profitability and program performance.
  • You will design and maintain data models, engineer ETL/ELT pipelines, perform in-depth exploratory data analysis, and develop predictive machine learning models to support cost optimization.
  • General Motors is committed to fostering an inclusive workplace that supports employee well-being and offers a rewarding career from day one.

Matching Summary

This role focuses on building and maintaining data foundations that power cost analytics initiatives across GM Finance to improve vehicle profitability and program performance.

Skills & Requirements

Must-have

  • Data engineering and ETL/ELT pipelines
  • Exploratory data analysis (EDA)
  • Predictive modeling and machine learning
  • Python and SQL proficiency
  • Databricks and Spark experience
  • Hybrid work at Global HQ Warren MI

Nice-to-have

  • Cross-functional collaboration
  • Automotive or manufacturing data experience
  • Advanced ML/AI techniques exposure
  • Scalable Python-based analytics tools
  • Data architecture design

Key Requirements

  • Bachelor’s degree in quantitative field
  • 5+ years in data analytics or related fields
  • Proficiency in Python and SQL
  • Experience with cloud-based data platforms
  • No immigration sponsorship available
  • Hybrid work with minimum three days per week onsite

Work Rights

Must have valid work authorization without company sponsorship

Tailored Resume

Cover Letter