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Updated weekly · Last refresh Oct 17

Loft Data Analyst Interview Questions

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

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~3htotal time
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1
MetricsStart here. 4 questions · ~32 min
Onboarding Funnel KPIsMedium
Recently asked

Tests your ability to define KPIs for measuring onboarding funnel operational efficiency.

KPIsoperational efficiencyLoft
Prioritizing Churn MetricsMedium
Recently asked

Tests metric selection for churn and dissatisfaction analysis in a rental guarantee context.

MetricsChurnLoft
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2
Behavioral & Leadership12 questions · ~96 min
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3
More topics6 questions · ~48 min
Prioritize User Problems with DataMedium
Recently asked

Framework for using product data to identify and prioritize the user problem that should be solved first.

Feature PrioritizationUser NeedsPain PointsLoft
Primary vs Guardrail MetricsEasy
Recently asked

Explain how a primary metric differs from a guardrail metric and how both are used in A/B test decisions.

ExperimentationGuardrail MetricsA/B TestingLoft
Data Quality in ETL PipelinesEasy
Recently asked

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualityLoft
SQL Experience and UseMedium
Recently asked

Tests SQL proficiency and the ability to apply it to real analysis work.

JoinsData WranglingAggregationsLoft
Building an Analytics PipelineHard
Recently asked

Evaluates end-to-end ownership of a complex analytics workflow or automation pipeline.

pipeline designAutomationLoft
Data Cleaning ImportanceEasy
Recently asked

Tests understanding of data quality practices and their impact on analysis reliability.

Data WranglingQualityLoft

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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
SQL Rolling Average and RankingHard
Practice
Practice drill

Use CTEs and window functions to calculate 7-day transaction averages and rank Loft users within each region.

Window FunctionsRankingRunning TotalsLoftArcadisCgi Nederland
Monthly Sales Trends by CategoryMedium
Practice
Practice drill

Aggregate monthly sales by product category and use LAG to calculate month-over-month changes.

InfrastructureToolsData WranglingTotal Wine & MoreInc.Benjamin Moore
Handling Missing ValuesMedium
Practice
Practice drill

Create an auditable application dataset by applying explicit PostgreSQL rules for missing candidate, status, salary, and date values.

missing valuesdata cleaningnull handlingAircallathenahealthHays
The finish line: interview-readyComplete all 22 questions plus 3 hands-on drills to finish this plan.