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Index Analytics Interview Questions

The questions to prepare for Index Analytics interviews, across all roles. Questions from real interview reports rank first. Updated daily.

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Machine LearningStart here. 4 questions · ~32 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 Tradeoff

Index Analytics

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SQL & Data Manipulation3 questions + 3 drills · ~54 min

Cleaning and Preparing Messy DataMedium

Tests data preprocessing skills and practical judgment for turning messy data into reliable inputs.

data preparationdata cleaning

Index Analytics

Deduplication with WindowingMedium

Practice

Practice drill

Deduplicate records across ingestion partitions while retaining the best current version of each business event.

Window Functionsdata cleaninglarge datasets

Accenture

SQL Random Generator and DedupMedium

Practice

Practice drill

Remove duplicate trade events while retaining the earliest trade ID for each identical event.

data cleaningData Manipulationsql

Jefferies

Deduplicate Large Transaction TableMedium

Practice

Practice drill

Identify and delete duplicate transactional records while preserving the earliest record without using temporary tables.

data cleaninglarge datasetssql

T Mobile Us

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Behavioral & Leadership7 questions · ~56 min

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More topics10 questions · ~80 min

Common Pitfalls in Experiment ResultsHard

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

PeekingNovelty EffectSample Ratio Mismatch

Index Analytics

First Checks for Metric DropsEasy

Outline the first checks to diagnose a sudden drop in a core product metric, starting with data quality, scope, and decomposition.

Lagging IndicatorsLeading IndicatorsDiagnosis

Index Analytics

Define Metrics for New FeaturesMedium

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

MetricsFeature Prioritizationuser value

Index Analytics

Explain Cross-Validation in Model SelectionEasy

Explain what cross-validation is and why it matters when choosing between models.

Cross-ValidationAccuracyThreshold Tuning

Index Analytics

Visualization Tools for Analytics PipelinesEasy

Discuss which visualization tools fit different analytics pipeline needs, and why warehouse integration and monitoring matter.

ToolsData ModelingQuality

Index Analytics

Assessing Statistical SignificanceMedium

Tests hypothesis testing and interpretation of statistical significance in data science work.

Statistical Significanceassessment

Index Analytics

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