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Dataminr Interview Questions

The questions to prepare for Dataminr interviews, across all roles. Questions from real interview reports rank first. Updated weekly.

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1
CodingStart here. 5 questions · ~49 min
2
Pipelines5 questions · ~49 min
Data Quality in ETL PipelinesEasy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualityDataminr
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3
Machine Learning4 questions · ~39 min
Supervised vs Unsupervised LearningEasy

Explain how supervised and unsupervised learning differ, and ground the distinction in a practical ML example.

Unsupervised LearningFeature EngineeringBias-Variance TradeoffDataminr
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4
Execution5 questions · ~49 min
Recover a Slipping ProjectMedium

Explain how you would diagnose and recover a project that is falling behind schedule without losing stakeholder trust.

Success CriteriaRoadmappingRisk AssessmentDataminr
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5
Metrics5 questions · ~49 min
Investigate User Engagement DeclineMedium

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

RetentionDiagnosisEngagement MetricsDataminr
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6
Product Sense5 questions · ~49 min
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 NeedsDataminr
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7
More topics21 questions · ~205 min
Develop a New Market GTM StrategyEasy

Approach for building a go-to-market strategy for a new market or solution.

Competitive AnalysisGo-to-MarketGrowth StrategyDataminr
Evaluating Observed Lift SignificanceMedium

Explain how to test whether an observed experiment lift is real using hypothesis testing, p-values, and confidence intervals.

Confidence IntervalsStatistical SignificanceP-ValuesDataminr
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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
The finish line: interview-readyComplete all 50 questions plus 3 hands-on drills to finish this plan.