Two candidates describe the Expedia Data Analyst interview: an online assessment with SQL and A/B testing questions, a bookings-data case, and an hour with behavioral and timed numerical questions.
$99K
Avg. Base Comp
$112K
Avg. Total Comp
Not reported
Typical Rounds
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Process Length
Two candidates have shared what the Expedia Data Analyst interview looked like, and their experiences cover different stages. One received an offer. That candidate describes two rounds. The first was an online assessment with SQL questions and simple statistics questions on A/B testing. The second combined behavioral questions with a case study built on bookings data, where the task was to share insights, including trends over time and seasonality. The take-home could be done in Excel or Python, but graphs and clear conclusions were expected.
The other candidate, who did not receive an offer, focused on a different part of the process. A recruiter reached out a couple of weeks after the application with questions about work eligibility and pay expectations, and scheduling an introductory call then stalled. The interview itself ran about an hour: three behavioral questions on motivation, interest in the role and strengths, plus timed numerical questions that took up a decent share of the time.
To prepare, practice SQL and the basics of A/B test results. Rehearse turning a time-series dataset into a few clear charts and a recommendation. Work on quick, accurate numerical reasoning, and have short answers ready on why Expedia and why this role.
Synthesized from 3 candidate reports by our editorial team.
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Real interview reports from people who went through the Expedia, Inc. process.
2 rounds- The first was an OA with SQL questions and simple stats questions with A/B testing. Then second round was Behavioural and case study where they gave bookings data and you had to share insight on it.
Questions asked: Asked what the trends were over time: seasonality trends. The take-home task could be done on excel or python but they expected you to make graphs and draw conclusions from the data.
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Topics based on recent interview experiences.
Featured question at Expedia, Inc.
How would you assess the validity of the result?
| Question | |
|---|---|
| Random SQL Sample | |
| Bagging vs Boosting | |
| Completed Shipments | |
| Revenue Retention | |
| Significance Time Series | |
| Google Maps Improvement | |
| Xgboost vs Random Forest | |
| Target Indices | |
| Average Commute Time | |
| Hurdles In Data Projects | |
| Lasso vs Ridge | |
| Forecasting New Year Revenue | |
| Average Ride Duration | |
| Count Transactions | |
| Banner Ad Strategy Success | |
| Implementing the Fibonacci Sequence in Three Different Methods | |
| Bias vs. Variance Tradeoff | |
| Average Revenue per Customer | |
| Check Matching Parentheses | |
| Data Preparation for Imbalanced Data | |
| Shoe Demand Seasonality | |
| String Palindromes | |
| Deciding Between Solutions | |
| Increase Search Ads | |
| Client Solution Pushback | |
| Best Performing Advertisers | |
| Boosting Instagram Stories | |
| Your Strengths and Weaknesses | |
| Evaluate News |
Synthesized from candidate reports. Individual experiences may vary.
One candidate reports a follow-up about a couple of weeks after applying, with basic questions on work eligibility and pay expectations. They were asked for a salary range without Expedia sharing its own target. Attempts to schedule an introductory call then went unanswered for about a week, so timing at this stage may vary.
The candidate who received an offer describes a first-round online assessment with SQL questions and simple statistics questions about A/B testing. Reviewing joins, aggregation and how to read basic experiment results fits what this candidate described.
In the second round, the same candidate faced behavioral questions and a case study using bookings data. They were asked about trends over time, including seasonality. The task could be completed in Excel or Python, but interviewers expected graphs and conclusions drawn from the data, not only raw numbers.
A different candidate describes an interview of about an hour with three behavioral questions: motivation to work at Expedia, interest in the specific role, and strengths they would bring. Timed numerical questions made up a decent portion of the hour, so practicing speed and accuracy under pressure may help.
