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Updated weekly · Last refresh Oct 17

ASI (Advertising Specialty Institute) Data Analyst Interview Questions

The questions to prepare for a ASI (Advertising Specialty Institute) Data Analyst interview. Questions from real interview reports rank first. Updated daily.

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MetricsStart here. 7 questions · ~56 min

Metrics for New Product LaunchMedium

Choose a metric hierarchy for a new product launch that covers adoption, customer value, and financial performance.

KPIsLeading IndicatorsDiagnosis

ASI (Advertising Specialty Institute)

Critical Metrics for Product LaunchMedium

Choose the most important launch metrics, balancing early signals, long-term outcomes, and a clear KPI hierarchy.

KPIsConversion RateLeading Indicators

ASI (Advertising Specialty Institute)

Using Metrics to Drive DecisionsEasy

Explain how you used a KPI and supporting metrics to diagnose a product issue and make a concrete product decision.

Funnel AnalysisKPIsLeading Indicators

ASI (Advertising Specialty Institute)

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SQL & Data Manipulation3 questions + 3 drills · ~54 min

Cleaning and Manipulating Large DatasetsHard

Tests your ability to prepare reliable datasets at scale for analysis.

JoinsData WranglingAggregations

ASI (Advertising Specialty Institute)

SQL, R, and Python for AnalysisHard

Tests your practical tooling for transforming and analyzing data.

JoinsData WranglingAggregations

ASI (Advertising Specialty Institute)

Streamline Month-End Report RefreshMedium

Practice

Practice drill

Use joins, date filtering, and aggregation to produce a faster month-end report from cleaned transaction data.

Data WranglingETLAutomation

ASI (Advertising Specialty Institute)

Analyze Decision Impact by RegionEasy

Practice

Practice drill

Use joins, CASE WHEN, and date filtering to compare outcome rates before and after a decision.

Data WranglingDiagnosisAggregations

HarbourVest Partners

Dashboard Design for User SegmentsMedium

Practice

Practice drill

Measure dashboard adoption by Johns Hopkins user segment using joins, aggregation, and reporting-period filters.

User NeedsJoinsData Wrangling

The Johns Hopkins University

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Statistics & Probability4 questions · ~32 min

Missing and Outlier HandlingEasy

Tests your approach to data quality issues that can bias results.

outliersRegressionData Wrangling

ASI (Advertising Specialty Institute)

Validating HypothesesMedium

Tests your rigor in testing assumptions and drawing defensible conclusions.

Confidence IntervalsHypothesis TestingP-Values

ASI (Advertising Specialty Institute)

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