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Updated weekly · Last refresh Oct 17

FCC (DC) Data Analyst Interview Questions

The questions to prepare for a FCC (DC) Data Analyst interview. Questions from real interview reports rank first. Updated daily.

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1
Behavioral & LeadershipStart here. 8 questions · ~64 min
Owning Ambiguous Analytics PrioritiesMedium

Tests ownership, prioritization under ambiguity, and influence through data when the problem and inputs are not clearly defined.

pattern analysistechnical experiencepythonFCC (DC)
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2
More topics7 questions · ~56 min
Prepare Training Data PipelineMedium

Outline a repeatable pipeline for cleaning, validating, and preparing a dataset for model training.

ETLData ModelingQualityFCC (DC)
Trends in Consumer ComplaintsMedium

Tests your ability to analyze complaint data and communicate findings to stakeholders.

Funnel AnalysisLeading IndicatorsDiagnosisFCC (DC)
Evaluating a New PolicyHard

Tests your experimental design and rigor when measuring policy impact for FCC (DC).

ExperimentationGuardrail MetricsCUPEDFCC (DC)
Statistical Methods and PreferencesMedium

Tests your statistical toolkit and ability to choose appropriate methods for analysis.

RegressionHypothesis TestingStatistical SignificanceFCC (DC)
SQL and Data ToolingEasy

Tests technical fluency with common data analysis tools and workflows.

ToolsData WranglingsqlFCC (DC)
Reconciling Conflicting Data SourcesMedium

Tests your data quality judgment and approach to resolving inconsistencies.

Data WranglingData ModelingQualityFCC (DC)
Why Data Visualization MattersEasy

Tests how you communicate insights clearly through effective visualization.

KPIsLeading IndicatorsDiagnosisFCC (DC)

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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
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
Data Cleaning and PrepMedium
Practice
Practice drill

Prepare valid encounter records by trimming text, excluding missing values, and removing invalid charges.

missing valuesdata cleaningData WranglingMassachusetts General HospitalCognizantDataVisor
The finish line: interview-readyComplete all 15 questions plus 3 hands-on drills to finish this plan.