Top 13
Prep plan
Updated weekly · Last refresh Aug 30

Faire Data Analyst Interview Questions

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

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1
SQL & Data ManipulationStart here. 4 questions + 3 drills · ~62 min
Top Retailers and RetentionHard

Tests advanced SQL for cohorting, retention logic, and correct time-window calculations.

Window FunctionsRetentionRankingFaire
Rolling Active Brands by RegionHard

Tests SQL window functions and time-series handling with sparse activity.

Window FunctionsDate FunctionsRunning TotalsFaire
Fix a Massive Join TimeoutHard

Tests query optimization, join strategy, and performance troubleshooting under real data constraints.

Performance TuningJoinssqlFaire
Calculate 30-Day User RetentionHard
Practice
Practice drill

Use CTEs, joins, and date filtering to calculate 30-day retention by signup cohort from login and feature usage data.

Window FunctionsDate FunctionsAggregationsCurefitReachMobiIndeed
Top Customers by Region VolumeMedium
Practice
Practice drill

Find the top 3 customers in each region by transaction volume using joins, aggregation, and window ranking.

Window FunctionsJoinsRankingJPMorganChaseSilicon Valley BankNavi
Compare Rider Retention by Signup CohortHard
Practice
Practice drill

Use CTEs, joins, and date functions to compare month-1 retention across rider signup cohorts.

Window FunctionsDate FunctionsJoinsLyftDidi ChuxingWaymo
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2
Behavioral & Leadership5 questions · ~40 min
Owning an Ambiguous Data RequestEasy

Tests ownership and prioritization in an ambiguous data engineering situation with changing requirements and multiple stakeholders.

englishsoft skillsCommunicationFaire
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3
More topics4 questions · ~32 min
Credit Risk Framework for Net-60Hard

Tests ability to translate business risk into measurable data signals and a practical evaluation framework.

User NeedsValue PropositionRisk AssessmentFaire
Experiment With Shipping Subsidy SpilloversHard

Tests experimental design, causal inference thinking, and mitigation strategies for interference.

experiment designNetwork Interferenceprimary metricsFaire
Measure Search Recommendation SuccessMedium

Tests metric design, experimentation readiness, and alignment to user and business outcomes.

Conversion Ratekpi hierarchyEngagement MetricsFaire
Investigate Onboarding Drop Root CauseMedium

Tests structured troubleshooting, prioritization of hypotheses, and data-driven diagnostics.

onboardingKPIDiagnosisFaire

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The finish line: interview-readyComplete all 13 questions plus 3 hands-on drills to finish this plan.