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Data Analyst, Fulfillment Jobs

Company

Tesla

Address , Sparks, 89434, Nv
Employment type FULL_TIME
Salary
Expires 2023-07-15
Posted at 1 year ago
Job Description
What to Expect
Tesla is seeking a motivated, experienced, and knowledgeable Data Analyst to support Global and Regional Distribution Center operations. You will work cross-functionally with Global Supply Chain, Logistics, Material Planning, Service, Finance, Quality and Facilities to collect, measure, visualize and interpret data; to turn data into information, information into insight and insight into business decisions.


What You’ll Do

Interpret data, analyze results and provide ongoing reports.

  • Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems.
  • Identify, analyze, and interpret trends or patterns in complex data sets.
  • Develop and implement databases, data collection systems, data analytics and other strategies that optimize the Distribution Center’s operational effectiveness and efficiency.
  • Identify and define new process improvement opportunities.
  • Acquire data from primary or secondary data sources and maintain databases/data systems
  • Uses data patterns and trends to root cause operational gaps and inefficiency, develop solutions in collaboration with operations teams.
  • Work with Distribution Center and Supply Chain leadership to prioritize business and information needs.
What You’ll Bring

3+ years working experience as a data analyst or business data analyst.

  • Technical expertise regarding data models, database design development, data mining and segmentation techniques.
  • Strong knowledge of and experience with reporting packages (Tableau, PowerBI, etc.), databases (SQL etc), programming (XML, Javascript, or ETL frameworks) an interactive dashboards.
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
  • Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc)
  • Adept at queries, report writing and presenting findings.
  • Initiative to gain and implement a broad knowledge of warehousing and supply chain best practices.
  • BS in Mathematics, Economics, Computer Science, Information Management, Statistics or related field.