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Updated weekly · Last refresh Aug 30

Navan Data Analyst Interview Questions

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

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1
SQL & Data ManipulationStart here. 6 questions + 2 drills · ~73 min
Top Customers by Sales RevenueEasy
Practice

Use GROUP BY and SUM to rank the top 10 customers by total revenue from a single sales table.

RankingGroup ByAggregationsNavan
Join vs Union in AnalyticsEasy

Explain how JOIN combines columns across related tables while UNION stacks rows from compatible queries in analytics workflows.

JoinsData WranglingUnionsNavan
Optimize a Slow SQL QueryMedium

Tests your performance troubleshooting skills for dv01-scale reporting queries.

JoinsData WranglingCTEsNavan
SQL Top 10 Products by SalesEasy
Practice
Practice drill

Aggregate completed SMX product sales and return the top 10 products by units sold.

RankingGroup ByAggregationsSMXBellEaze
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
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2
Behavioral & Leadership9 questions · ~79 min
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3
More topics5 questions · ~44 min
Interpreting P Values in TestingEasy

Explain what a p-value means in hypothesis testing and how it relates to statistical significance.

Hypothesis TestingStatistical SignificanceP-ValuesNavan
Build an Engagement FeatureMedium

Approach for identifying, prioritizing, and launching a new feature that increases user engagement.

Feature PrioritizationUser NeedsUse CasesNavan
Predicting Churn with MLHard

Tests your end-to-end ML approach, feature thinking, and evaluation for churn prediction.

ChurnDiagnosisLTVNavan
Explaining a Statistical MethodEasy

Tests your understanding of core statistics and your ability to justify method choice.

Confidence IntervalsHypothesis TestingStatistical SignificanceNavan
Choosing the Right MetricsMedium

Tests metric selection, alignment to goals, and prioritization for data-driven decisions.

North Star MetricKPIsDiagnosisNavan

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