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Updated weekly · Last refresh Oct 17

Booking Data Analyst Interview Questions

The questions to prepare for a Booking Data Analyst interview. Questions from real interview reports rank first. Updated daily.

40questions
~6htotal time
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1
MetricsStart here. 13 questions · ~122 min
Approach a Dataset InsightHard

Explain how to clarify an analytical goal, validate the data, select metrics, and turn dataset findings into actionable insight.

analyticsmetric selectionactionable insightsBooking
Build Visualizations from DatasetMedium

Answer dataset questions, define relevant metrics, and build visualizations that communicate findings and actionable insights.

dashboardsanalyticsactionable insightsBooking
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2
SQL & Data Manipulation10 questions · ~94 min
Top Hotels Per City QueryMedium
Practice

Write a query to find the top 3 most booked hotels in each city for the last 30 days. Count booking records whose booking date falls within the 30-day per...

Date FunctionsJoinsRankingBooking
Best Methods for Data CleaningHard
Practice

Clean duplicate, malformed, missing, and inconsistent reservation records with PostgreSQL transformations and validation.

missing valuesdata cleaningdata validationBooking
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3
Statistics & Probability10 questions · ~94 min
Null and Alternative HypothesesMedium

Define null and alternative hypotheses for an experiment, including the parameter, comparison value, direction, and test scope.

ExperimentationHypothesis Testingstatistics fundamentalsBooking
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4
Behavioral & Leadership3 questions · ~28 min
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5
More topics4 questions · ~38 min
A/B Testing Case InterpretationHard

Interpret two A/B testing plots and assess significance, experiment validity, metrics, and the appropriate product decision.

experiment designMDEprimary metricsBooking
Data Quality in ETL PipelinesEasy
Recently asked

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualityBooking
Role of a Data Analyst at BookingEasy

Tests understanding of the Data Analyst role and how it supports product and experimentation at Booking.

User NeedsUse CasesProduct VisionBooking
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