Distribution Center Data Analyst

Job Description

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.

Responsibilities.

· Interpret data, analyze results and provide ongoing reports.

· Develop and implement databases, data collection systems, data analytics and other strategies that optimize the Distribution Center’s operational effectiveness and efficiency.

· Acquire data from primary or secondary data sources and maintain databases/data systems

· Identify, analyze, and interpret trends or patterns in complex data sets.

· Uses data patterns and trends to root cause operational gaps and inefficiency, develop solutions in collaboration with operations teams.

· Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems.

· Work with Distribution Center and Supply Chain leadership to prioritize business and information needs.

· Identify and define new process improvement opportunities.

Requirements.

· 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, etc.), databases (SQL etc), programming (XML, Javascript, or ETL frameworks) and interactive dashboards.

· Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc)

· Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy

· 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.

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