Dataford
Top 19
Prep plan
Updated weekly · Last refresh Sep 22

CRH Data Analyst Interview Questions

The questions to prepare for a CRH Data Analyst interview. Questions from real interview reports rank first. Updated daily.

19questions
~3htotal time
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1
Behavioral & LeadershipStart here. 13 questions · ~112 min
Owning an Ambiguous Data ProblemEasy

Tests ownership in ambiguous data engineering work, including prioritization, stakeholder alignment, and driving measurable outcomes.

backgroundtechnical experienceself introductionCRH
Responding to Tough FeedbackEasy

Tests how you handle constructive criticism with self-awareness, ownership, and visible improvement over time.

CommunicationOwnershipDealing With AmbiguityCRH
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2
More topics6 questions · ~52 min
Handling Missing DataMedium
Practice

Standardize missing observation fields with fallback values, missingness flags, and ordered output.

Window Functionsmissing valuesdata cleaningCRH
Find Pain Points from FeedbackMedium

Use customer feedback to identify the biggest pain points in the user journey.

User ResearchUser NeedsPain PointsCRH
Reducing Operational Costs with DataMedium

Tests your ability to select relevant metrics and link data to cost reduction decisions.

KPIsLeading IndicatorsDiagnosisCRH
Common Statistical MethodsEasy

Tests statistical fundamentals relevant to player analytics and experimentation.

RegressionHypothesis TestingA/B TestingCRH
Data Cleaning and ImportanceEasy

Tests your ability to clean and prepare data reliably for analysis and reporting.

Data WranglingETLQualityCRH
Identifying Trends in Sales DataMedium

Tests your ability to derive trend insights from business time series data.

Leading IndicatorsDiagnosisTime SeriesCRH

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Hands-on SQL practiceWrite and run real queries in the editor. 2 drills · ~20 min
Site Performance SQL AnalysisHard
Practice
Practice drill

Aggregate CRH site output and defects by month, then calculate defect rates and year-over-year output changes.

Window FunctionsDate Functionsdata accuracyCRH
Cleaning a Messy DatasetMedium
Practice
Practice drill

Filter invalid game events and normalize event names using PostgreSQL string and null handling.

missing valuesdata cleaningnull handlingQuantiumScopelyCarvana
The finish line: interview-readyComplete all 19 questions plus 2 hands-on drills to finish this plan.