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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 |
What to Expect
What You’ll DoWhat You’ll Bring
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.
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.
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