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DataBank Holdings Data Analyst Interview Questions

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

18questions
~2htotal time
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1
PipelinesStart here. 6 questions · ~48 min
Data Quality in ETL PipelinesEasy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualityDataBank Holdings
Designing Unified Data ModelsHard

Tests your modeling approach for reliable, reusable analytics across marketing use cases.

ETLData ModelingQualityDataBank Holdings
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2
Metrics8 questions · ~64 min
Compare CAC Against LTVMedium

Calculate CAC and compare it with LTV to decide whether an acquisition campaign is economically viable.

CACcampaign viabilityLTVDataBank Holdings
Measure Marketing Campaign SuccessEasy

Define campaign success using business KPIs, funnel conversion, acquisition cost, and leading indicators tied to outcomes.

Funnel AnalysisKPIsLeading IndicatorsDataBank Holdings
Prioritize Marketing Dashboard MetricsMedium

Design a marketing dashboard that ties campaign performance to pipeline impact, with clear KPI prioritization across the funnel.

North Star MetricKPIsDiagnosisDataBank Holdings
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3
More topics4 questions · ~32 min
Statistical Analysis ApproachMedium

Tests your statistical thinking and how you apply analysis methods to real business data.

RegressionCorrelationCausal InferenceDataBank Holdings
SQL Experience and UseEasy

Tests your practical SQL skills for querying, joining, and preparing marketing analytics data.

JoinsData WranglingAggregationsDataBank Holdings
Advanced SQL FunctionsMedium

Tests depth of SQL knowledge for complex analytics and data manipulation.

Window FunctionsCTEsAggregationsDataBank Holdings
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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
Contact Center Agent Performance MetricsHard
Practice
Practice drill

Compute daily agent call KPIs and SLA using joins, aggregations, and window ranking in a contact center model.

ETLAggregationsData ModelingADP
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
Handle Missing Financial Input ValuesMedium
Practice
Practice drill

Use joins, CTEs, and CASE logic to flag and fill missing financial fields for Qlik planning records.

Data WranglingETLQualityQlik
The finish line: interview-readyComplete all 18 questions plus 3 hands-on drills to finish this plan.