Business Intelligence Data Analyst - Gpsc

General Motors

Hybrid
Enterprise-scale data engineering
Ai/ml solutions development
Data modeling (star, snowflake)
Architect, design, and lead enterprise-scale data engineering and BI solutions across diverse Supply chain business domains

Job Summary

  • Architect, design, and lead enterprise-scale data engineering and BI solutions across diverse Supply chain business domains.
  • Build and optimize robust AI/ML solutions to promote workflow automation and organizational efficiency.
  • Collaborate with cross-functional teams, IT, and business stakeholders to align data architecture with strategic goals.

Matching Summary

Architect, design, and lead enterprise-scale data engineering and BI solutions across diverse Supply chain business domains.

Skills & Requirements

Must-have

  • enterprise-scale data engineering
  • AI/ML solutions development
  • data modeling (star, snowflake)
  • BI dashboard development
  • cloud data platforms (Azure, AWS, GCP)
  • Lakehouse technologies (Databricks, Snowflake)

Nice-to-have

  • manufacturing domain experience
  • automotive domain experience
  • medallion architecture design
  • advanced analytics familiarity

Key Requirements

  • Bachelor’s Degree in Computer Science, Engineering, Information Systems, or related field
  • 5+ years of experience in data engineering, analytics infrastructure, and BI reporting
  • Advanced proficiency in SQL, Python, Spark
  • Strong background in BI development (Power BI, Cognos, Tableau, Qlik, Looker)
  • Proven experience with AI/ML integration and deployment
  • Hands-on experience with cloud data platforms and Lakehouse technologies

Work Rights

Not specified

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