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Hunter Douglas Interview Questions

The questions to prepare for Hunter Douglas interviews, across all roles. Questions from real interview reports rank first. Updated weekly.

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1
SQL & Data ManipulationStart here. 4 questions + 2 drills · ~53 min
Monthly Sales Trends by CategoryMedium
Practice

Aggregate monthly sales by product category and use LAG to calculate month-over-month changes.

InfrastructureToolsData WranglingHunter Douglas
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
Weekly Service KPI by TeamMedium
Practice
Practice drill

Analyze weekly service delivery performance by team using joins, a CTE, date aggregation, and KPI calculations.

KPIJoinssqlDeloitteReputation
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2
Execution8 questions · ~66 min
Describe a Challenging ProjectEasy

Share a challenging project, your role, the risks and trade-offs you managed, and the final outcome.

Trade-offsRoadmappingRisk AssessmentHunter Douglas
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3
Metrics4 questions · ~33 min
Diagnose KPI Drop After ReleaseMedium

Diagnose a post-release KPI drop by separating instrumentation issues from real behavior changes and tracing the problem through the metric hierarchy.

KPILeading IndicatorsDiagnosisHunter Douglas
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4
Machine Learning4 questions · ~33 min
Feature Engineering for Sparse DataMedium

Explain how to engineer features for high-dimensional sparse data while controlling overfitting, dimensionality, and training cost.

data preprocessingFeature Engineeringsparse datasetsHunter Douglas
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5
Statistics & Probability3 questions · ~25 min
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6
Behavioral & Leadership15 questions · ~124 min
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7
More topics12 questions · ~99 min
Data Quality in ETL PipelinesEasy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualityHunter Douglas
Prioritize Features for a New ProductMedium

A framework for deciding which features should ship first when building a new product.

Feature PrioritizationUser Needsproduct developmentHunter Douglas
Design Test for Novelty and SpilloversHard

Design an experiment that accounts for novelty effects and network spillovers before deciding whether to ship.

Network InterferenceExperimentationNovelty EffectHunter Douglas
Hard vs Soft Links in LinuxEasy

Tests understanding of Linux filesystem linking semantics and practical implications.

basicslinuxHunter Douglas
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The finish line: interview-readyComplete all 50 questions plus 2 hands-on drills to finish this plan.