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Transport for London Marketing Analytics Specialist Interview Questions

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

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~6htotal time
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1
MetricsStart here. 8 questions · ~65 min
Measure Brand Awareness Campaign SuccessMedium

Define a KPI stack for a brand awareness campaign, from reach and recall to downstream pipeline and ROI.

KPILeading IndicatorsEngagement MetricsTransport for London
Measure Marketing Campaign SuccessEasy

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

Funnel AnalysisKPIsLeading IndicatorsTransport for London
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2
Product Sense3 questions · ~24 min
Media Plan for New Service LaunchMedium

Evaluates end-to-end media planning and how you translate launch goals into a plan.

service launchTransport for London
Drafting an Agency BriefMedium

Evaluates ability to translate strategy and constraints into clear agency-facing requirements.

Transport for London
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3
Behavioral & Leadership25 questions · ~202 min
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4
More topics6 questions · ~49 min
Correlation Versus Causation in AnalysisEasy

Explain why correlated customer behaviors do not by themselves prove a causal effect, and how you would tell the difference.

CorrelationHypothesis TestingCausal InferenceTransport for London
Handle Incomplete or Inconsistent DataEasy

Explain how to assess and clean incomplete or inconsistent data before analysis.

Data WranglingCase WhenQualityTransport for London
Balancing Short-Term and Long-TermMedium

Assesses strategic tradeoffs between immediate performance and durable customer impact.

data-driven decisionsTransport for London
Drivers of Customer Behavior ChangeMedium

Evaluates analytical approach to uncovering drivers of behavior change.

Data AnalysisTransport for London
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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
SQL Average Delay by TimeMedium
Practice
Practice drill

Calculate average completed-service delay per TfL line and time-of-day category.

Joinssql queryData AnalysisTransport for London
Using SQL Window FunctionsMedium
Practice
Practice drill

Calculate three-day rolling passenger entry averages for TfL stations using aggregation and window functions.

Window FunctionsData AnalysissqlTransport for LondonThe Trade DeskMercari
Top Categories Over TimeMedium
Practice
Practice drill

Rank top product categories by revenue and units sold during a defined reporting period.

Date FunctionsJoinssql queryEEstée Lauder CompaniesWWMFAmazon Development Center U.S.
The finish line: interview-readyComplete all 42 questions plus 3 hands-on drills to finish this plan.