Sales and Delivery Analytics Internship (Summer 2023)


  • Internships


Disclaimer: This position is expected to start around May 2023 and continue through the entire Summer term (i.e. through September) or into Fall 2023 if available. We ask for a minimum of 12 weeks, full-time, for most internships. Please consider before applying.

International Students: If your work authorization is through CPT, please consult your school on your ability to work 40 hours per week before applying. Again, please do not apply until you know you can work 40 hours per week. Many students will be limited to part-time during the academic year.

Internship Program at Tesla

The Internship Recruiting Team is driven by the passion to recognize emerging talent. Our year-round program places the best students in positions where they will grow both technically and personally through their experience working closely with their manager, mentor, and team. We are dedicated to providing an experience that allows for the intern to experience life at Tesla by giving them projects that are critical to their team’s success.

The Sales and Delivery Analytics team is responsible for
analyzing and reporting on sales and delivery performance metrics for the
company. The team uses data to identify trends, forecast sales, and optimize
delivery processes. The team works closely with sales, delivery, and finance
teams to provide insights that drive business decisions.




Collaborate with the Sales and Delivery
Analytics team to gather, clean, and analyze data from various sources using
SQL, Python and other data analysis tools.

Work on various data-driven projects including
data analysis, modeling, forecasting, and reporting.

Develop and maintain dashboards and reports to
track sales and delivery performance metrics.

Assist in creating predictive models to forecast
future sales and delivery trends.

Identify areas of opportunity for process
improvement and optimization using data insights.

Communicate findings and recommendations to team
members and other stakeholders.

Perform ad-hoc analysis and reporting as needed.


Currently pursuing a Bachelor’s or Master’s
degree in Mathematics, Statistics, Data Analytics or a related field.

Proficient in SQL and Python.

Experience with data visualization tools such as
Tableau, Power BI, or similar.

Ability to work independently and as part of a
team in a fast-paced environment.

Strong problem-solving and analytical skills.

Excellent communication and interpersonal