Data Science Intern applicants have rated the interview process at Asana with 3 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 100% positive. To compare, the company-average is 37.3% positive. This is according to Glassdoor user ratings.
Common stages of the interview process at Asana as a Data Science Intern according to 1 Glassdoor interviews include:
Skills test: 50%
Phone interview: 50%
Here are the most commonly searched roles for interview reports -
The interview process was smooth and well-structured. Communication remained clear at every stage, and the interviewers were professional and approachable. Overall, it was a positive, organized, and seamless experience from start to finish.
Interview questions [1]
Question 1
They asked me to explain a data analysis project I had worked on, focusing on the tools I used, the challenges I faced, and how I interpreted and presented the results.
I applied through an employee referral. I interviewed at Asana (San Francisco, CA) in Nov 2025
Interview
There were three rounds - I got to the final round, but didn't get the role. HR kept me relatively well-updated about the process. Waiting for results for the first round took a little long (~3 weeks), but waiting for the decisions between the subsequent rounds took ~ 1 week and 2 weeks respectively. Waiting for the final decision also took longer (~3 weeks).
Interview questions [1]
Question 1
First round was a case with several questions that needed to be answered in a Jupyter Notebook. Second round was more of a product case interview, testing one's product sense. Third round consisted of a statistics interview and another product case interview. Study well for statistics and do your best to conduct product case examples.
I applied online. The process took 3 weeks. I interviewed at Asana (San Francisco, CA) in Sep 2025
Interview
Was given a hackerank for the Online Assessment and then was given a at home assessment. After that I had a 1 on 1 interview. Was tested on my ability to give business solutions using data science solutions
Interview questions [1]
Question 1
What KPIs to look at during certain business contexts