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Arthur J. Gallagher & Data Analyst Interview Questions

The questions to prepare for a Arthur J. Gallagher & Data Analyst interview. Questions from real interview reports rank first. Updated daily.

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1
SQL & Data ManipulationStart here. 6 questions + 3 drills · ~78 min
Handling Missing and Dirty SQL DataMedium
Recently asked

Explain how to profile, clean, and standardize missing or dirty data before analysis.

Data WranglingCase WhenQualityArthur J. Gallagher &
Efficient Joins and QueriesMedium
Recently asked

Tests your ability to write efficient SQL for dashboard-ready datasets using complex joins and query optimization.

JoinsCTEsAggregationsArthur J. Gallagher &
Handling Nulls in Critical FieldsMedium
Recently asked

Tests your data cleaning and SQL decision-making for incomplete insurance or claims data.

SubqueriesData WranglingCase WhenArthur J. Gallagher &
Flag Incomplete Campaign TrackingMedium
Practice
Practice drill

Use joins, CTEs, CASE, and null handling to quantify missing tracking data by campaign and channel.

null handlingData Wranglingdata integrityArthur J. Gallagher &
Monthly Team Performance Cost AnalysisMedium
Practice
Practice drill

Use joins, a CTE, and date aggregation to calculate monthly team volume, average turnaround time, and cost per unit.

Date FunctionsJoinsGroup ByArthur J. Gallagher &Unity TechnologiesVirtual Employee
SQL Average Sales Per MonthEasy
Practice
Practice drill

Calculate average sale amount by month using date filtering, grouping, and AVG aggregation.

sqlAggregationsAviso AISamsung ElectronicsSSweetwater
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2
Metrics8 questions · ~64 min
Metric Tracking System DesignMedium
Recently asked

Evaluates how you design metrics and tracking for client insights initiatives.

Data AnalysisArthur J. Gallagher &
Diagnosing a Sudden Metric DropHard
Recently asked

Tests root-cause analysis for unexpected KPI changes over time.

root cause analysisArthur J. Gallagher &
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3
Behavioral & Leadership12 questions · ~96 min
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4
More topics3 questions · ~24 min
Data Quality in ETL PipelinesEasy
Recently asked

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualityArthur J. Gallagher &
Measuring Research Partnership SuccessMedium
Recently asked

Assesses how you define and measure outcomes for client-focused research partnerships.

success metricsArthur J. Gallagher &
Data Quality and Documentation StandardsEasy
Recently asked

Tests your discipline in ensuring trustworthy data and maintainable analytics assets.

ETLData ModelingQualityArthur J. Gallagher &

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The finish line: interview-readyComplete all 29 questions plus 3 hands-on drills to finish this plan.