Product Manager, Quality Data Engineering

Job details


The manufacturing quality data engineering team is a high impact, high priority and high visibility team that is laser focus on safety critical issues and expanding critical services to Gigafactories worldwide. Within Tesla’s Vehicle Engineering organization, you will have the data gold mines across design, manufacturing and vehicle data sources, enabling you to design, create and deploy innovative new data services, automation and machine learning tools into production use. In this role, you will work closely with cross-functional teams to identify patterns, develop visualizations and create key performance indicators worldwide with executive visibility.

  • Analyze manufacturing, equipment and vehicle data and highlight high impact insights to drive manufacturing and vehicle improvements
  • Write SQL to aggregate and process data across multiple data sources
  • Create ETL jobs to calculate key performance indicators
  • Develop high visibility dashboards to visualize metrics across manufacturing facilities worldwide
  • Test and validate results to ensure accuracy
  • Bachelor’s/Master’s degree or higher in quantitative discipline (e.g. Statistics, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering) or the equivalent in experience and evidence of exceptional ability
  • 3+ years of work experience in data analytics or engineering related field
  • Expert in writing SQL and familiar with multiple data architecture paradigms (MySQL, MicrosoftSQL, Oracle, Vertica, Clickhouse, Presto)
  • Proficient with processing data in Python
  • Data visualization veteran, familiar with tools and techniques such as Superset, Plotly, Tableau, Power BI
  • Strong analytical skills with ability to combine and find patterns across multiple datasets
  • Strong attention to details and data accuracy

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