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Updated weekly · Last refresh Oct 17

Project44 Marketing Analytics Specialist Interview Questions

The questions to prepare for a Project44 Marketing Analytics Specialist interview. Questions from real interview reports rank first. Updated daily.

17questions
~2htotal time
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1
MetricsStart here. 6 questions · ~48 min
Measure B2B Funnel HealthMedium

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

Funnel AnalysisKPILeading IndicatorsProject44
KPIs for Closed-Won RevenueEasy

Tests KPI selection and how you translate marketing activity into closed-won impact.

KPIProject44
Multi-Channel Campaign ROIMedium

Tests your approach to attribution, timing, and ROI measurement across long B2B sales cycles.

roicampaign performanceProject44
Multi-Touch Attribution ChoiceMedium

Tests attribution modeling judgment and how you align model choice to funnel behavior.

attribution modelscampaign performanceProject44
Measuring ABM EffectivenessMedium

Tests ABM measurement strategy for enterprise buyers and linking engagement to pipeline and revenue.

Project44
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2
Behavioral & Leadership9 questions · ~72 min
Presenting Underperforming Campaign FindingsMedium

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

Stakeholder ManagementCommunicationfeedbackProject44
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3
More topics2 questions · ~16 min
SQL for Lead Conversion TimeMedium

Tests SQL skills for calculating conversion time and grouping results by acquisition channel.

Date FunctionsGroup ByAggregationsProject44
Actionable Executive DashboardsMedium

Tests dashboard design choices that support both day-to-day marketing execution and executive decision-making.

User Needsdashboard designProject44

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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
Top Users SQL QueryMedium
Practice
Practice drill

Count valid daily interactions and return the top three users using aggregation and deterministic ranking.

data cleaningDate FunctionsGroup By
Extract Trends With Window FunctionsMedium
Practice
Practice drill

Clean transaction records and rank users by monthly spending to reveal behavioral trends.

Window Functionsdata cleaningGroup ByIBM
Monthly Active Users by CampaignMedium
Practice
Practice drill

Use PostgreSQL joins and monthly aggregation to count distinct active users from a specific signup campaign.

Date FunctionsJoinscampaign performanceGitHub
The finish line: interview-readyComplete all 17 questions plus 3 hands-on drills to finish this plan.