Data Engineer InternAt — Tesla

The Data Engineering team is building a state-of-the- art analytics platform for business and operation intelligence. At Tesla, we have enormous amounts of data and we want to give meaning to it and help business users to make data driven decisions. Our platform will allow users to answer \\what\\, \\when\\ and \\how\\ questions as well as allow them to ask \\what if?”. Interns will help design, develop, maintain and support our Enterprise Data Warehouse & BI platform within Tesla. This position offers a unique opportunity to impact to the entire organization by developing data tools and creating a data driven culture.

Tasks:

Responsibilities:
Analyze data and extract useful statistics and insights to drive meaningful improvements to production quality and customer experience
Work effectively with engineers and conduct end-to-end analyses, from data requirement gathering, to data processing and modeling
Interpret data and analyze results using statistical techniques to provide ongoing reports
Identify, analyze, and interpret trends or patterns in complex data sets and depict the story via dashboards and reports
Acquire data from primary or secondary data sources and maintain databases/data systems to empower operational and exploratory analysis
Drive underlying data systems improvement by working with key cross-functional stakeholders

Training:

Intern will attend a mandatory on-site orientation on their first day and will continue with training throughout the first several weeks. Training will include detailed shadowing of job duties in person using real examples, and reverse shadowing with the team. Online Tesla training modules are required for all tesla employees. Intern will have weekly one-on-one meetings with their reporting manager and assigned internship mentor.

Learning Outcome:

By the end of the academic internship, the student will be able to:

Analyze data and extract useful statistics and insights to drive meaningful improvements to production quality and customer experience
Work effectively with engineers and conduct end-to-end analyses, from data requirement gathering, to data processing and modeling
Interpret data and analyze results using statistical techniques to provide ongoing reports
Identify, analyze, and interpret trends or patterns in complex data sets and depict the story via dashboards and reports
Acquire data from primary or secondary data sources and maintain databases/data systems to empower operational and exploratory analysis
Drive underlying data systems improvement by working with key cross-functional stakeholders