El proceso tomó 1 semana. Acudí a una entrevista en Capital One (Richmond, VA) en oct 2011
Entrevista
Both another director in another company's interview and I thought Capital One had some kind of weird interview process.
IMO, we can not hire an candidate only by asking several cases or behavioral questions without some "real" challenging questions for this level position (Senior Data Analyst), such as "please compare the algorithms which you have involved in previous data mining models ". (base on my previous working experience and other on-site interviews' questions)
And to my HUGE surprise, a manager in statistician said that "I didn't know anything about SQL when I joined capital one after I got my BS degree 7 years ago" , "Capital one has a on-site training program that teaches you this kind of technics", "we only hire the one has analytical thinking".
Anyway, I don't want to offense these managers and directors, maybe we have different views about how to be a good candidate. I am not saying a good candidate must be a SQL master. It is your choice whether to be managed by them or not.
Acudí a una entrevista en Capital One (McLean, VA)
Entrevista
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
Preguntas de entrevista [1]
Pregunta 1
In one of the rounds I was a given a question related to debit/credit card
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.
Me postulé a través de una facultad o universidad. Acudí a una entrevista en Capital One (Plano, TX)
Entrevista
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.