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SG Analytics Interview Questions

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

Deep Copy vs Shallow Copy
Easy

Explain shallow vs deep copy in Python, how nested objects behave, and when each approach is appropriate.

memory managementbasicspython
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First Checks for Metric Drops
Easy

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

Lagging IndicatorsLeading IndicatorsDiagnosis
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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
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Interpreting P Values in Testing
Easy

Explain what a p-value means in hypothesis testing and how it relates to statistical significance.

Hypothesis TestingStatistical SignificanceP-Values
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Salary Expectation
Easy

Tests compensation alignment and professionalism in Business Analyst hiring.

Trade-offsSuccess CriteriaScope Management
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Handling Missing and Noisy Data
Easy

Explain a practical approach for handling missing values and noisy observations in a supervised learning dataset.

Cross-ValidationFeature EngineeringSupervised Learning
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Validate a Model Before Deployment
Medium

Explain how to validate a model before deployment, including thresholds, calibration, and holdout testing.

Cross-ValidationCalibrationThreshold Tuning
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