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Updated weekly · Last refresh Oct 17

Flatiron School Marketing Analytics Specialist Interview Questions

The questions to prepare for a Flatiron School Marketing Analytics Specialist interview. Questions from real interview reports rank first. Updated daily.

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1
MetricsStart here. 8 questions · ~64 min
Diagnose Rising CAC With Stable ConversionEasy

Investigate why FinFlow's CAC rose 31% while conversion stayed flat by decomposing spend, traffic mix, and acquisition efficiency.

CACConversion RateDiagnosisFlatiron School
Measure B2B Funnel HealthMedium

Define the KPI set for a B2B marketing funnel, from lead generation through pipeline and revenue efficiency.

Funnel AnalysisKPILeading IndicatorsFlatiron School
Campaign Success StoryMedium

Assesses your ability to drive results and explain impact with metrics.

performance metricsFlatiron School
Success Metrics for CampaignsMedium

Tests your understanding of which KPIs matter for campaign performance and optimization.

Flatiron School
Localized Campaign Performance AnalysisMedium

Tests your ability to evaluate geo-specific marketing performance and account for confounding factors.

campaign performanceFlatiron School
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2
Behavioral & Leadership8 questions · ~64 min
Presenting Underperforming Campaign FindingsMedium

Tests how you deliver difficult, data-backed campaign feedback to stakeholders and drive action without damaging trust.

Stakeholder ManagementCommunicationfeedbackFlatiron School
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3
More topics2 questions · ~16 min
Reconciling Ad and CRM DataMedium

Tests your approach to data quality checks, reconciliation, and reliable reporting across marketing systems.

performanceReconciliationdata integrityFlatiron School
A/B Test Sample Size and RuntimeHard

Tests your understanding of experimentation design, power, and practical runtime planning for reliable results.

Statistical SignificanceSample SizeFlatiron School

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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
Cohort Retention with SQLHard
Practice
Practice drill

Compare monthly SparkBeyond user retention by cohort using CTEs, date arithmetic, aggregation, and LAG window functions.

Window FunctionsDate FunctionsAggregationsSparkBeyondBooz AllenDidi Chuxing
Window Functions for RankingHard
Practice
Practice drill

Rank Whova attendees by total engagement and calculate each user's chronological running engagement total.

Window FunctionsRankingRunning TotalsWhovaTTTRhombus Power
Top Lessons by Completion RateMedium
Practice
Practice drill

How would you use SQL to identify the top 10 lessons by completion rate in the last 30 days? Use the lessonprogress table. Treat each row as one learner's...

Date FunctionsRankingGroup ByFlatiron School
The finish line: interview-readyComplete all 18 questions plus 3 hands-on drills to finish this plan.