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Tesla Energy Services Analytics Manager 
United States, California, Fremont 
876332285

13.08.2024
What You’ll Do
  • Manage ateam of Data Analysts, Data Engineers and a Software Engineer who areresponsible for building applications, tools & dashboards used by EnergyServices leaders and high-impact functions, such as Scheduling
  • Plan,build, and run proprietary software applications built for niche business usecases, such as workflow process automation
  • ApplyData Engineering techniques, such as Python and ETLs, to aggregate informationfrom multiple servers and sources to simplify complex processes into a scalableData Analytics tool
  • Partnerwith Software Engineering and Business Intelligence to make informationcaptured in proprietary software tools available for Data Analysis
  • Owncross-functional relationships with business leaders, such as Field Managers,to develop insightful metrics and help use analytics tools to make betterdecisions
  • Defineand implement efficiency measures for end-to-end service operations management:processing of inbound customer issues, scheduling & planning, and fieldexecution
  • Developtools that can be used by internal Tesla departments to report to B2Bcustomers, such as Powerwall Installers’ quality, defective part returns, andoutstanding service issues
What You’ll Bring
  • 7+ yearsof professional experience in quantitative analysis or analytics, includingteam leadership and management
  • Bachelor'sDegree in Engineering or Science preferred or equivalent experiene
  • Anexpertise in SQL, Python, Microsoft Excel, and visualization tools like PowerBIor Tableau
  • DataEngineering skillsets to extract, transform, and load (ETL) information fromdifferent sources into a single table for Data Analysis using tools such asPython
  • Strongproblem-solving skills to help refine problem statements and figure out how tosolve them with the available data
  • Abilityto thrive in fast-pace, high volume, and ambiguous environments, takinginitiative to create clarity and forward progress
  • Highlycollaborative, team oriented, and comfortable leading cross-functionalprojects, especially those consisting of both technical and non-technicalstakeholders