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Updated weekly · Last refresh Sep 20
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Canadian Tire Data Scientist Interview Questions

The questions to prepare for a Canadian Tire Data Scientist interview. Questions from real interview reports rank first. Updated daily.

18questions
~3htotal time
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1
MetricsStart here. 3 questions · ~27 min
Diagnose Conversion Drop Post LaunchMedium
Recently asked

Diagnose why conversion fell from 4.8% to 3.1% after a launch by breaking the metric across funnel steps, cohorts, and segments.

Funnel AnalysisConversion RateDiagnosisCCanadian Tire
Investigate User Engagement DeclineMedium
Recently asked

Investigate a 15% engagement decline by decomposing the metric, isolating root causes, and proposing actions.

RetentionDiagnosisEngagement MetricsCCanadian Tire
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2
A/B Testing & Experimentation5 questions · ~44 min
Design Test for New FeatureMedium
Recently asked

Design an A/B test for a new platform feature, including success metrics, power, guardrails, and a clear ship decision.

experiment designfeature evaluationA/B TestingCCanadian Tire
Common Pitfalls in Experiment ResultsHard
Recently asked

Identify the main pitfalls that can distort A/B test interpretation and explain how to guard against them.

PeekingNovelty EffectSample Ratio MismatchCCanadian Tire
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3
Behavioral & Leadership4 questions · ~36 min
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4
More topics6 questions · ~53 min
SQL Window Functions Moving AverageMedium
Practice
Recently asked

Calculate a three-day moving average of active-client revenue using aggregation and SQL window functions.

Window FunctionsData AnalysissqlCCanadian Tire
Define Metrics for New FeaturesMedium
Recently asked

Define a success metric for a new feature that captures real user value, not just raw usage.

MetricsFeature Prioritizationuser valueCCanadian Tire
Statistical Significance in Hypothesis TestingEasy
Recently asked

Explain what statistical significance means and why it matters when interpreting experimental or analytical results.

Hypothesis TestingData AnalysisStatistical SignificanceCCanadian Tire
Handling Missing and Skewed DataMedium
Recently asked

Explain how to handle NULLs, skewed values, and outliers when preparing an analysis dataset using SQL.

Data Qualitynull handlingData WranglingCCanadian Tire
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Hands-on SQL practiceWrite and run real queries in the editor. 2 drills · ~20 min
Running Average With Window FunctionsEasy
Practice
Practice drill

Calculate each Hinge user's 30-day rolling average of daily interactions using CTEs and window functions.

Window FunctionsData AnalysissqlHingeCCatalyst Operations & AnalyticsAAlight Solutions
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
The finish line: interview-readyComplete all 18 questions plus 2 hands-on drills to finish this plan.