Business Intelligence Data Analyst - Gpsc

General Motors Australia & New Zealand

Warren, United States
Hybrid
Enterprise-scale data engineering
Ai/ml solutions development
Data modeling (star, snowflake, medallion)
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.
  • Establish and enforce best practices for data governance, security, master data management, and compliance.

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, medallion)
  • BI dashboard development
  • cloud data platforms (Azure, AWS, GCP)
  • Lakehouse technologies (Databricks, Snowflake)

Nice-to-have

  • manufacturing domain experience
  • automotive domain experience
  • data governance tools
  • advanced analytics familiarity

Key Requirements

  • 5+ years of experience
  • Bachelor's Degree in relevant field
  • Advanced proficiency in SQL, Python, Spark
  • Strong BI development background
  • Proven AI/ML integration experience
  • Experience leading modernization/migration projects
  • Hands-on cloud data platform experience

Work Rights

Not specified

Tailored Resume

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