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 a recruiter. The process took 1+ week. I interviewed at Capital One (Richmond, VA) in Apr 2011
Interview
Got an email from the recrutier asking me to take their online assessment. Passed the online assessment then was scheduled for a phone interview with a director in data analysis department. He asked about my background, how comfortable I was to work with large database, and asked me to describe a project I had been working on. Got an onsite notice 3 days after the phone interview. The onsite started with a behavioral question and job fitting session, during which 3 questions were asked and different functional areas in the data analysis department were described and I was asked to pick one that I was most interested in. Then a case study, another behavioral question session and another case study. Had lunch at 12pm and was sent to the airport after a brief tour of the campus. The behavioral questions were standard questions like "describe how you learned sth new" and "describe how you set up a goal and achieve it". The case studies were about credit card profit and loss insurance. They were straightforward as long as you are clear on how to match numbers with cost and revenue. Overall it was an interesting experience.
Interview questions [1]
Question 1
case study: credit card insurance profit per customer
cost of mailing $0.5, response rate 1%, average balance per month $1000,
insurance charges 1% of average balance monthly, customer claim rate 5%
(once insured customer files a claim, the balance will be wiped and C1
lose $1000).
Question: profit per customer, graph claim rate vs response rate, graph profit vs response rate and find the response rate for maximum profit (r=1%)
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.