I’ve just completed the Tesla Data Analyst interview process. Overall, it felt fast – paced and wide – ranging. From SQL operation questions, data analysis cases, to behavioral interviews, each round was challenging. This article will share the real questions I encountered, preparation ideas, and some tips. I hope it can help those of you preparing for Tesla Interview to avoid pitfalls and score higher!

OA
Tesla’s OA is completed on the codility test platform. It’s best to register in advance and get familiar with the interface.
- SQL – 1
Given a table namedinvoicewith three columns:invoice_number(invoice number),product(product), andprice(price). Calculate the total price for eachinvoice_number. Theproductcolumn is an interference item and does not need to be included when usingGROUP BY. Finally, sort the results in descending order byinvoice_number.
SELECT invoice_number, SUM(price) AS total_price
FROM invoice
GROUP BY invoice_number
ORDER BY invoice_number DESC;
- SQL – 2
Given a queuing table namedqueuewith three columns:employee_id(employee ID),weight(weight in pounds), andturn(queuing order, 1 means at the front of the queue). Given that the elevator’s weight limit is 1000 pounds, query the relevant information of the last employee who can get on the elevator without overloading it.
WITH SortedQueue AS (
SELECT employee_id, weight, turn
FROM queue
ORDER BY turn
),
CumulativeWeights AS (
SELECT employee_id, weight, turn,
SUM(weight) OVER (ORDER BY turn) AS cumulative_weight
FROM SortedQueue
)
SELECT employee_id
FROM CumulativeWeights
WHERE cumulative_weight <= 1000
ORDER BY turn DESC
LIMIT 1;
- Python
Calculate the sum of the first three positive elements in a list. If there are fewer than three positive elements, sum as many as there are. For example, for the input list[1,2,-4,6,0], the output is 9.
def sum_first_positives(lst):
count = 0
total = 0
for num in lst:
if num > 0:
total += num
count += 1
if count == 3:
break
return total
# Example call
lst = [1, 2, -4, 6, 0]
print(sum_first_positives(lst))
Phone Interview
Complete 4 SQL questions within half an hour, involving 3 tables: order, order history, and car info (the table structures are relatively large, and only some column names are roughly remembered).
order historytable: contains columns such asorder id,cancelled date,delivered date,ordered date,vinkey, etc.ordertable: seems to contain columns such asorder id,buyer id,order date,vinkey, etc.car infotable: contains columns such asmodel,vinkey,price,eligibility, etc.
Specific Questions
- Calculate the number of users who have placed orders for at least one car model (calculate the number of users who have placed >= 1 model).
- Calculate the weekly delivery rate of a certain car model this year (calculate the weekly delivery rate of a certain car model this year).
- Perform time zone localization calculations (calculate localize time zone, need to use Vertica SQL).
- Calculate the date of the first ineligibility for each cancelled order or undelivered vehicle (calculate the date of the first ineligibility for each cancelled / undelivered vehicle).
Conclusion
The Tesla data analyst position interview not only tests technical skills but also values logical thinking and business acumen. The entire process made me realize that just being able to write SQL or build models is not enough. What really impresses the interviewers is “how you think” and “why you do it this way”. I hope this interview experience can help you prepare in advance.
If you encounter difficulties during the preparation process, ProgramHelp provides one – stop services related to data analysis, including code tutoring, case Q&A, interview simulation, assignment writing, and real – time interview assistance. We are dedicated, reliable, and efficient.