DraftKings Data Analyst candidates report a recruiter screen, phone expected-value cases, and a Zoom case with an analytics manager. Here is what they were asked and how to prepare for the case-heavy format.
$92K
Avg. Base Comp
$110K
Avg. Total Comp
3-5 rounds
Typical Rounds
Not reported
Process Length
Candidates describing DraftKings analytics interviews put case studies at the center of the process. Two Data Analyst candidates and one Business Data Analyst candidate describe an HR screen followed by a phone case built on expected value and probability. The prompts involved ticket purchases, including a scalped ticket with a chance of being fake or a bowling-game ticket scenario. One candidate also had a raffle layered on top and had to say which option had the highest EV.
The next stage is reported as a business case. One Data Analyst candidate faced a Zoom case with an analytics manager and did not get past it. The Business Data Analyst candidate got a train-dissatisfaction scenario. They listed hypotheses for the problem and sketched the graphs that would confirm or rule out each one. A Senior Analyst candidate describes similar train and ticket cases, so chart selection and talking through assumptions are worth practicing.
Results in these reports were mostly rejections. One candidate reached a final case that was cancelled, and the Senior Analyst candidate was told a final sportsbook and casino case went badly. That candidate said the missed points were business reasons for falling margin, and that sportsbook bets must be balanced. Those reports come from adjacent senior roles, so treat them as optional stretch preparation.
Practice speaking your structure aloud, state assumptions before calculating, and tie every number back to a business decision.
Synthesized from 6 candidate reports by our editorial team.
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| Question | |
|---|---|
| Rider Discount | |
| Why Do You Want to Work With Us | |
| 2nd Highest Salary | |
| Compute Deviation | |
| Button AB Test | |
| P-value to a Layman | |
| Google Maps Improvement | |
| Group Success | |
| Significance Time Series | |
| Hurdles In Data Projects | |
| Centralized Event Ingestion | |
| Subscription Retention | |
| Comparing Search Engines | |
| Time on FB Distribution | |
| WAU vs Open Rates | |
| Marketing Channel Metrics | |
| Valid Anagram | |
| Find Duplicate Numbers in a List | |
| Spam Classifier | |
| Compute Variance | |
| Customer Success vs. Free Trial | |
| Distribution of 2X - Y | |
| Track Your Most Valuable Gamers | |
| Matrix Rotation | |
| KNN From Scratch | |
| Concurrent LLM Serving | |
| Interquartile Distance | |
| Implementing the Fibonacci Sequence in Three Different Methods | |
| User Event Data Pipeline |
Synthesized from candidate reports. Individual experiences may vary.
Candidates report an initial recruiter or HR call that was straightforward. One says it covered their background and why they wanted to work at DraftKings. Prepare a concise story and a clear reason for choosing the company.
Candidates report a phone interview built on expected-value questions, such as buying a possibly fake scalped ticket or comparing options with a raffle. Data Analyst candidates describe the math as manageable, and one found the estimation-style prompts ambiguous. Practice structuring EV comparisons aloud.
One Data Analyst candidate reports a Zoom case with an analytics manager that served as the main cutoff. A Business Data Analyst candidate reports a train-dissatisfaction case, where they listed hypotheses and the graphs that would support each. Expect to reason out loud.
A Business Data Analyst candidate reports a standard 30-minute video behavioral round. Another Data Analyst candidate says a final case was cancelled before it happened. Later stages appear to vary by candidate, so confirm each round with the recruiter.
