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DePaul University Marketing Analytics Specialist Interview Questions

The questions to prepare for a DePaul University Marketing Analytics Specialist interview. Questions from real interview reports rank first. Updated weekly.

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~3htotal time
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1
Product SenseStart here. 3 questions · ~24 min
Campaign Success AssessmentMedium

Tests your approach to planning, measurement, and success criteria for a DePaul marketing campaign.

Feature PrioritizationUse CasesProduct VisionDePaul University
Marketing Impact on StudentsMedium

Tests your ability to connect marketing analytics to student outcomes and engagement.

User SegmentsUser NeedsValue PropositionDePaul University
Applying Diversity and Inclusion PrinciplesEasy

Tests your ability to work inclusively and contribute to a respectful team environment.

User SegmentsUser ResearchValue PropositionDePaul University
2
Behavioral & Leadership12 questions · ~96 min
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3
More topics5 questions · ~40 min
Measure Marketing Campaign SuccessEasy

Define campaign success using business KPIs, funnel conversion, acquisition cost, and leading indicators tied to outcomes.

Funnel AnalysisKPIsLeading IndicatorsDePaul University
Primary vs Guardrail MetricsEasy

Explain how a primary metric differs from a guardrail metric and how both are used in A/B test decisions.

ExperimentationGuardrail MetricsA/B TestingDePaul University
Ensuring Data IntegrityEasy

Tests controls and practices that prevent errors and ensure trustworthy analytical results.

Data WranglingCase WhenQualityDePaul University
Enrollment Decline AnalysisHard

Tests your skills in diagnosing enrollment drivers using analytics and data-informed decision making.

Funnel AnalysisLeading IndicatorsDiagnosisDePaul University
SQL for Website Back EndMedium

Tests your understanding of SQL usage for data retrieval, updates, and analytics workflows.

sqlDePaul University

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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
Identify Funnel Bottlenecks in OnboardingHard
Practice
Practice drill

Use joins, CTEs, and aggregations to find the weakest step in an onboarding funnel and estimate lost conversions.

Funnel AnalysissqlDiagnosisAtlassianRevolut
Find Largest Funnel Step Drop-OffHard
Practice
Practice drill

Use joins, aggregations, and a window function to find the funnel step with the largest user drop-off.

Window FunctionsFunnel AnalysisCase WhenAsanaAisCanva
Normalize Messy CRM Contact DataHard
Practice
Practice drill

Clean inconsistent CRM contacts by joining source tables, standardizing values, and flagging bad records.

Data WranglingCase WhenQualityAlphaSense
The finish line: interview-readyComplete all 20 questions plus 3 hands-on drills to finish this plan.