Top 18
Prep plan
Updated weekly · Last refresh Oct 17

Noom Data Analyst Interview Questions

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

18questions
~3htotal time
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1
SQL & Data ManipulationStart here. 7 questions + 2 drills · ~81 min
Optimizing a Slow SQL QueryMedium

Tests query tuning skills including indexing, execution plans, and rewriting inefficient logic.

SubqueriesJoinsAggregationsNoom
Grouped Counts and RankingsEasy

Tests SQL skills for grouped counts, ranking, and per-group aggregation.

aggregationGroup ByNoom
Top Users by EngagementMedium
Practice

Rank Dayforce users by quarterly engagement and return the top 10% using aggregation and NTILE().

sql queryEngagement MetricsNoom
Grouped Record CountsEasy

Tests ability to write correct SQL aggregations with GROUP BY.

Data WranglingGroup ByAggregationsNoom
Top Customers by Net SalesMedium
Practice
Practice drill

Compute top 10 customers by net sales using joins and aggregations, ordering by revenue with deterministic tie-breaking.

SubqueriesJoinsData WranglingGain DigitalTCSZest AI
Unify CRM and Google Analytics ViewHard
Practice
Practice drill

Merge CRM orders with GA events via an identity map to build a customer-level view using joins, window functions, and monthly rollups.

SubqueriesJoinsData WranglingArtefact
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2
Behavioral & Leadership8 questions · ~69 min
Owning a High-Stakes AnalysisMedium

Tests ownership of an ambiguous analysis, including tool choice, stakeholder communication, and translating findings into action.

Stakeholder ManagementCommunicationOwnershipNoom
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3
More topics3 questions · ~26 min
Finding Engagement TrendsMedium

Tests skills in exploratory analysis, time-based thinking, and deriving actionable engagement insights.

Leading IndicatorsDiagnosisEngagement MetricsNoom
Building a Predictive ModelMedium

Tests ability to build baseline predictive models and choose features, metrics, and validation.

RegressionHypothesis TestingCausal InferenceNoom
Handling Missing DataMedium

Tests imputation, bias awareness, and appropriate missing-data handling for health analytics.

RegressionHypothesis TestingData WranglingNoom

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The finish line: interview-readyComplete all 18 questions plus 2 hands-on drills to finish this plan.