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Great Hill Solutions Data Analyst Interview Questions

The questions to prepare for a Great Hill Solutions Data Analyst interview. Questions from real interview reports rank first. Updated weekly.

15questions
~2htotal time
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1
PipelinesStart here. 3 questions · ~24 min
Data Quality in ETL PipelinesEasy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualityGGreat Hill Solutions
Pitfalls in Federal DatasetsMedium

Tests data governance awareness and practical mitigation strategies for federal data issues.

Data ModelingBackfillingQualityGGreat Hill Solutions
Automated Financial ReconciliationHard

Tests ability to design automation for reconciliation, including data flow and validation.

ETLAutomationQualityGGreat Hill Solutions
2
Metrics3 questions · ~24 min
Root Cause of DiscrepanciesMedium

Tests diagnostic skills for investigating data quality and reconciliation issues.

KPIsLeading IndicatorsDiagnosisGGreat Hill Solutions
Analyzing Financial TrendsMedium

Tests analytical thinking and methods for finding trends in large financial datasets.

KPIsLeading IndicatorsDiagnosisGGreat Hill Solutions
KPI Dashboard DevelopmentMedium

Tests end-to-end dashboard design, KPI definition, and stakeholder-focused delivery.

North Star MetricKPIsDiagnosisGGreat Hill Solutions
3
Behavioral & Leadership7 questions · ~56 min
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4
More topics2 questions · ~16 min
SQL Insights ExtractionMedium

Tests SQL proficiency and ability to turn queries into actionable insights for stakeholders.

JoinsGroup ByAggregationsGGreat Hill Solutions
SQL Joins and FilteringEasy

Tests practical SQL skills for joining and filtering data accurately.

SubqueriesJoinsData WranglingGGreat Hill Solutions

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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
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
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
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
The finish line: interview-readyComplete all 15 questions plus 3 hands-on drills to finish this plan.