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      Entretien pour Business Data Analyst

      23 avr. 2018
      Candidat à l'entretien anonyme
      Boston, MA
      Aucune offre
      Expérience négative
      Entretien difficile

      Candidature

      J'ai postulé en ligne. Le processus a pris 8 semaines. J'ai passé un entretien chez DraftKings (Boston, MA) en avr. 2018

      Entretien

      After applying, i heard back almost instantly with an invitation for a first round interview (next day i think). However, it took almost 2 weeks between being invited to interview and actually having a time scheduled. The first round was a phone screen from the recruiter. I was blown off during the first scheduled appointment and was only rescheduled after I directly reached out and set up a new time. When that call did eventually happen, it was a complete waste of time. It literally took 2 minutes despite telling me it would be a "45 minute discussion." After this I was quickly moved forward into a phone call with a member of the analytics team, where we went through a quantitative case interview. This went smoothly, and I moved on to round 3 where i spoke with another analytics team member on the phone for a more open ended business case, which also went smoothly. I was then invited in to the office for a final round interview consisting of two more cases and a behavioral interview. After leaving the interview I was told I would either receive an offer or a rejection as soon as that same day, but no later than the end of the week. It is now 3 weeks out and counting, and i have heard nothing one way or the other despite multiple follow up emails. TL;DR: Every interaction with the HR department, whether it be phone screens, scheduling the next round, or hearing back about the previous round was absolutely terrible. However, the analytics team and the people you meet in the office are fantastic. The issue does not seem to be a DraftKings-wide problem, but rather an incompetent/indifferent HR department.

      Questions d'entretien [1]

      Question 1

      Phone screen #1: What are the odds 4 different people would have birthdays in unique seasons? Quant Case: How much would you be willing to pay to play a game where you pick one bill out of a bag with equal proportions of $10, $20, $50, $100 bills? What if you got to put your bill back and pick a second time? What if you could pick a third time? What if you could remove all of the $10 bills before you picked? Business Case: You own a local coffee shop. You notice your profits are down over the last week. Walk me through the process of isolating what the problem is. In Office case 1: Contest sizing In office case 2: similar to the coffee shop question but with trains. The city that operates the train network sent out a survey about customer satisfaction, and an overwhelming number of people selected the dropdown option "queues and delays" as their main complaint. Walk through the potential sources of the problem. Behavioral in office: went through resume, elevator pitch "tell me about yourself", relevant work experience, why you want to work at DraftKings, etc.
      Répondre à cette question
      9

      Autres retours d’entretien d’embauche pour un poste comme Business Data Analyst chez DraftKings

      Entretien pour Business Data Analyst

      1 oct. 2024
      Candidat à l'entretien anonyme
      Aucune offre
      Expérience neutre
      Entretien difficile

      Candidature

      J'ai postulé en ligne. Le processus a pris 4 semaines. J'ai passé un entretien chez DraftKings en oct. 2024

      Entretien

      4 rounds of interviews. HR: Standard HR phone screening asking about your experience, why draftkings, etc. Case Study 1: over the phone case study asking to calculated the expected value of tickets based on various situations. First is to calculated EV of tickets for an online sale vs buying from third party person at the stadium with a 20% chance of ticket being fake. Additional calculations are needed further into the question as other complexities are added, like if there is a raffle paying out $20k with a 1% chance of winning, what is the EV, and which option has the highest EV? Behavioral: 30 minute video behavioral round asking about how you dealt with various situations. pretty standard Case Study 2: Consulting style case study with an analytics twist that asks you to draw visualizations that would support your theories for why the customers are dissatisfied with the hypothetical train service. You are given information about the entire setup of the train system and asked to formulate possibilities for why customers are dissatisfied, draw graphs of data that is available that would prove or disprove if these theories are correct, and then come up with solutions to a chosen problem.
      4

      Entretien pour Business Data Analyst

      8 sept. 2023
      Candidat à l'entretien anonyme
      Boston, MA
      Aucune offre
      Expérience positive
      Entretien moyen

      Candidature

      J'ai passé un entretien chez DraftKings (Boston, MA)

      Entretien

      Typical behavioral and case interview questions. The interviews are very nice and welcoming. Be prepared to handle quantitative cases using basic probability concepts and qualitative cases. Make sure to always speak out loud so the interviewer knows your thought process. Had a final round scheduled but accepted another offer before completing it.

      Questions d'entretien [1]

      Question 1

      Expected valued case about baseball tickets.
      Répondre à cette question

      Entretien pour Business Data Analyst

      12 oct. 2021
      Employé (anonyme)
      Offre acceptée
      Expérience positive
      Entretien difficile

      Candidature

      J'ai postulé en ligne. J'ai passé un entretien chez DraftKings

      Entretien

      1st round: phone screening with statistics and probability case study 2nd round: phone interview with business case, similar to a consulting business case 3rd round: zoom interview with a behavioral section and another statistics case study

      Questions d'entretien [1]

      Question 1

      Expected value of ticket prices
      Répondre à cette question
      2