Data Operations Specialist applicants have rated the interview process at Stord with 2.5 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 86.6% positive. This is according to Glassdoor user ratings.
Candidates applying for Data Operations Specialist roles take an average of 13 days to get hired, when considering 2 user submitted interviews for this role. To compare, the hiring process at Stord overall takes an average of 21 days.
Common stages of the interview process at Stord as a Data Operations Specialist according to 2 Glassdoor interviews include:
One on one interview: 40%
Group panel interview: 20%
Background check: 20%
Phone interview: 20%
Here are the most commonly searched roles for interview reports -
I applied online. The process took 4 days. I interviewed at Stord (Atlanta, GA) in Apr 2022
Interview
It was extremely quick; however, it went well. First I had an initial phone interview. That went well; therefore, I was set up with my second interview where I was interview with ppl that would be on my team. That interview went well and I was lastly set up with an interview with the hiring manager. After that meeting I was given a call later that same day offering me the job. I started two weeks after receiving my offer letter.
Interview questions [1]
Question 1
What do you feel like you can bring to the company?
How are you in a team setting?
What salary do you require?
How do you learn?
When it comes to time management how do you handle everything?
How do you handle stress and conflict?
I applied online. The process took 3 weeks. I interviewed at Stord in Mar 2022
Interview
There were 4 interviews including the initial phone screen. However, the process was quick and efficient. Everyone I spoke with was very pleasant and conversational. The interviews consisted of position breakdown and general questions about my background.
Interview questions [1]
Question 1
Tell me a time that you had to deal with an upset customer related to inventory inaccuracy.