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Updated weekly · Last refresh Oct 17

Arch Systems Data Analyst Interview Questions

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

15questions
~2htotal time
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1
Behavioral & LeadershipStart here. 10 questions · ~88 min
Choosing Visualization Tools Under PressureMedium

Tests stakeholder-aware communication and data-driven judgment when selecting visualization tools for operational reporting.

softwareToolsdata visualizationArch Systems
Motivation Through Ownership and GrowthEasy

Tests whether your motivation is grounded in ownership, growth, and impact rather than generic ambition.

LeadershipOwnershipArch Systems
Resolving Team Disagreement on ApproachEasy

Tests conflict resolution in a delivery context, including communication, influence without authority, and ability to preserve team trust while reaching a decision.

Influence Without AuthorityConflict ResolutionCommunicationArch Systems
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2
More topics5 questions · ~44 min
Handling Missing DataMedium
Practice

Standardize missing observation fields with fallback values, missingness flags, and ordered output.

Window Functionsmissing valuesdata cleaningArch Systems
Data Quality in ETL PipelinesEasy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualityArch Systems
Selecting Relevant FeaturesMedium

Tests your feature selection approach and ability to justify modeling choices.

RegressionCorrelationCausal InferenceArch Systems
First Steps for Engagement MetricsMedium

Tests your metrics thinking and prioritization for driving measurable improvements.

Leading IndicatorsDiagnosisEngagement MetricsArch Systems
Root Cause Analysis for DeclinesHard

Tests your structured RCA process and ability to translate findings into actionable next steps.

Lagging IndicatorsLeading IndicatorsDiagnosisArch Systems

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Hands-on SQL practiceWrite and run real queries in the editor. 2 drills · ~20 min
Cleaning a Messy DatasetMedium
Practice
Practice drill

Filter invalid game events and normalize event names using PostgreSQL string and null handling.

missing valuesdata cleaningnull handlingQuantiumScopelyCarvana
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 15 questions plus 2 hands-on drills to finish this plan.