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Updated weekly · Last refresh Sep 20

PriceLabs Marketing Analytics Specialist Interview Questions

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

26questions
~3htotal time
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1
MetricsStart here. 14 questions · ~112 min
Prioritize Marketing Dashboard MetricsMedium

Design a marketing dashboard that ties campaign performance to pipeline impact, with clear KPI prioritization across the funnel.

North Star MetricKPIsDiagnosisPriceLabs
Marketing Analytics Tools Through MetricsEasy

Explain your analytics tool experience through the metrics, KPIs, and ROI decisions you supported.

KPIsData WranglingDiagnosisPriceLabs
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2
Product Sense4 questions · ~32 min
Segment Customers for Campaign TargetingMedium

Approach for defining actionable customer segments for a targeted marketing campaign and choosing the right trade-offs.

User SegmentsFeature PrioritizationUser NeedsPriceLabs
Approach User Research in DesignEasy

Explain a practical approach to user research in the design process, from understanding user needs to turning findings into design decisions.

Jobs to Be DoneUser ResearchUser NeedsPriceLabs
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3
Strategy4 questions · ~32 min
Marketing Budget Allocation StrategyEasy

Approach for allocating a constrained marketing budget across channels and objectives using ROI, trade-offs, and prioritization.

EstimationGrowth StrategyMarket SizingPriceLabs
Developing Data-Driven Marketing PlansHard

Tests planning skills that convert analytics into actionable marketing strategy and targets.

EstimationGo-to-MarketGrowth StrategyPriceLabs
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4
More topics4 questions · ~32 min
SQL for Lifecycle MarketingMedium

Evaluates your SQL skills for extracting and analyzing data used in lifecycle marketing.

Data AnalysissqlPriceLabs
A/B Testing ApproachEasy

Tests experimental design thinking and statistical rigor for marketing decisions.

Hypothesis TestingStatistical SignificanceA/B TestingPriceLabs
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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
SQL Window Functions for Rolling MetricsMedium
Practice
Practice drill

Calculate Snapmint's 30-day rolling average of daily loan defaults using aggregation and window functions.

Data AnalysisAggregationsSSnapmintFlowKoch
Window Function Revenue RankingMedium
Practice
Practice drill

Use a window function to identify the second-highest revenue-generating property within each market.

Window FunctionsData ManipulationRankingPriceLabs
Month-over-Month Active ListingsMedium
Practice
Practice drill

Calculate monthly active listing counts and month-over-month growth percentages for PriceLabs.

Lag/LeadDate FunctionssqlPriceLabs
The finish line: interview-readyComplete all 26 questions plus 3 hands-on drills to finish this plan.