Senior Data Analyst applicants have rated the interview process at Capital One with 3 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 61% positive. To compare, the company-average is 60.7% positive. This is according to Glassdoor user ratings.
Candidates applying for Senior Data Analyst roles take an average of 35 days to get hired, when considering 178 user submitted interviews for this role. To compare, the hiring process at Capital One overall takes an average of 26 days.
Common stages of the interview process at Capital One as a Senior Data Analyst according to 178 Glassdoor interviews include:
Phone interview: 24%
One on one interview: 19%
Skills test: 15%
Personality test: 11%
Presentation: 10%
IQ intelligence test: 7%
Background check: 7%
Group panel interview: 4%
Drug test: 2%
Other: 1%
Here are the most commonly searched roles for interview reports -
I applied through an employee referral. I interviewed at Capital One (North York, ON)
Interview
Referred by a friend there in a similar position to the one I applied to. Passed the online test and the phone interview, but was screened after the first in-person interviews (personality and case). Stumbled on some interest calculations. People seemed friendly, ambitious, perhaps overworked. I don't feel that the culture was a good fit for me, personally.
Interview questions [1]
Question 1
case interview was about the decision process for accepting or declining a given credit card transaction
Started with an OA, and then proceeded to data challenge, and afterwards it was Power Day which had 4 rounds of interview. 2 of them were more problem-solving, and one of them was walking through the data challenge
Interview questions [1]
Question 1
In one of the rounds I was a given a question related to debit/credit card
I applied through college or university. I interviewed at Capital One (Plano, TX)
Interview
1) CodeSignal proctored test. Tests analytical prowess and SQL. Time is tight, with increasingly difficult questions. You have to pass to move on.
2) Data Challenge. Python coding challenge to answer 5 questions. You need to merge/ clean your dataset and make a recommendation. You present it during power day.
3) Powerday. 4 interviews back to back. 2 case interviews, 1 behavioral interview, 1 data challenge interview.
Powerday 4 rounds back to back. One data challenge presentation , two cases and one behavior round. Overall easy and it was a nice experience. Interviewers responded the follow up questions detailedly.