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      Ricerche correlate: Recensioni su Capital One | Offerte di lavoro di Capital One | Stipendi di Capital One | Benefit di Capital One
      Colloqui di Capital OneColloqui per Senior Data Analyst presso Capital OneColloquio di Capital One


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      Colloquio per Senior Data Analyst

      28 apr 2011
      Candidato anonimo a colloquio
      Richmond, VA
      Nessuna offerta
      Esperienza positiva
      Colloquio nella media

      Candidatura

      Ho presentato la mia candidatura tramite un selezionatore. La procedura ha richiesto più di una settimana. Ho sostenuto un colloquio presso Capital One (Richmond, VA) nel mese di apr 2011

      Colloquio

      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.

      Domande di colloquio [1]

      Domanda 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%)
      3 risposte
      8

      Altre recensioni di colloqui per Senior Data Analyst presso Capital One

      Colloquio per Senior Data Analyst

      23 mag 2026
      Candidato anonimo a colloquio
      McLean, VA
      Nessuna offerta
      Esperienza positiva
      Colloquio nella media

      Candidatura

      Ho sostenuto un colloquio presso Capital One (McLean, VA)

      Colloquio

      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

      Domande di colloquio [1]

      Domanda 1

      In one of the rounds I was a given a question related to debit/credit card
      Rispondi alla domanda

      Colloquio per Sr Data Analyst

      1 mag 2026
      Candidato anonimo a colloquio
      Plano, TX
      Nessuna offerta
      Esperienza positiva
      Colloquio difficile

      Colloquio per Senior Data Analyst

      2 mag 2026
      Dipendente anonimo
      Offerta accettata
      Esperienza positiva
      Colloquio facile

      Candidatura

      Ho sostenuto un colloquio presso Capital One

      Colloquio

      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.

      Candidatura

      Ho presentato la mia candidatura tramite l'università. Ho sostenuto un colloquio presso Capital One (Plano, TX)

      Colloquio

      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.