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Dunkin' Marketing Analytics Specialist Interview Questions

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

11questions
~2htotal time
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1
MetricsStart here. 5 questions · ~42 min
Using Metrics to Guide MarketingEasy

Explain how you used campaign KPIs and conversion data to make a marketing decision.

Funnel AnalysisKPIsDiagnosisDunkin'
Diagnose Client Engagement DropMedium

Diagnose a sharp decline in client engagement and break it down into cohorts, funnel steps, and likely business drivers.

Leading IndicatorsDiagnosisEngagement MetricsDunkin'
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2
More topics6 questions · ~50 min
Handling Missing Values in SQLEasy

Explain how to detect and handle NULL values in SQL using filtering, COALESCE, CASE, and business-aware imputation.

Data WranglingETLCase WhenDunkin'
Prioritizing Marketing InitiativesMedium

Tests prioritization frameworks using ROI, impact, and measurement plans for marketing decisions.

EstimationCompetitive AnalysisGrowth StrategyDunkin'
A/B Testing for PromotionsMedium

Tests experimental design, KPI selection, and decision-making for marketing promotions at scale.

ExperimentationStatistical SignificanceA/B TestingDunkin'
Pre-Launch Data for New ProductsMedium

Tests product and marketing analytics thinking to reduce risk before a launch.

Product-Market FitUser SegmentsUser NeedsDunkin'
Dataset Missing Values ApproachEasy

Tests practical data cleaning decisions and methods for handling missingness.

Data WranglingQualityDunkin'
Statistical Modeling Experience DiscussionMedium

Explain your experience building statistical models, analyzing data, and interpreting uncertainty in results.

RegressionCorrelationVarianceDunkin'

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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
Clean Inconsistent Expense EntriesHard
Practice
Practice drill

Clean inconsistent expense records with CTEs, joins, CASE logic, and aggregation to summarize valid spend by department.

Data WranglingAggregationsQualityUniversity of Colorado Denver
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 11 questions plus 3 hands-on drills to finish this plan.