Product Analyst applicants have rated the interview process at Disney+ Hotstar with 2 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 48% positive. This is according to Glassdoor user ratings.
Candidates applying for Product Analyst roles take an average of 1 day to get hired, when considering 1 user submitted interviews for this role. To compare, the hiring process at Disney+ Hotstar overall takes an average of 20 days.
Common stages of the interview process at Disney+ Hotstar as a Product Analyst according to 1 Glassdoor interviews include:
One on one interview: 100%
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Very interactive and impartial.
Tough and to the point questions.
Calmness and composure were tested and multiple rounds for complete understanding of the work experience.
SQL and Python are a must
I applied online. I interviewed at Disney+ Hotstar (Gurgaon, Haryana) in Jun 2022
Interview
The interview process was good and very fair. HR was very polite and they want more knowledge in your domain than your tech stack. They want someone who is dedicated to the role, not for tools aur languages
Interview questions [1]
Question 1
Describe the importance of your role in a particular project.
I applied online. The process took 4 weeks. I interviewed at Disney+ Hotstar (New Delhi)
Interview
Around 6 rounds including HR. Recruiter reached out on phone and scheduled the interviews. The whole process was very well organized. The recruiter was professional and did schedule interviews based on your availability.
The interviewers were polite, helpful and asked good questions except one round where I was asked bookish sql syntax based questions. But all in all the interviews were good discussions.
For some reason they kept the salary discussion till after the interviews were over. Got an offer which was nowhere close to my expectations (~15% increase on in-hand salary! ) . Could've asked salary expectations upfront and avoided wasting my time and the interviewers' time as well. Will advise candidates to clarify on the salary part before the interviews to save everyone's time and effort.
Interview questions [1]
Question 1
Standard sql questions - running avg, cumulative counts, etc
Product feature metrics based questions