General Motors (GM) Data Analyst Interview Questions
The questions to prepare for a General Motors (GM) Data Analyst interview. Questions from real interview reports rank first. Updated weekly.
Approach for maintaining data quality and integrity across ETL pipelines.
General Motors (GM)Discuss Python scripting experience for ETL, orchestration, and data quality tasks in data pipelines.
General Motors (GM)Tests your performance troubleshooting skills across query design and database behavior.
General Motors (GM)Calculate rolling 30-day distinct OnStar users using a deduplication window function and date-range aggregation.
General Motors (GM)Rank GM vehicle models by diagnostic trouble code volume using joins, conditional aggregation, and a window function.
General Motors (GM)Aggregate monthly sales by product category and use LAG to calculate month-over-month changes.
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Benjamin MooreReason about sample size, power, and minimum detectable effect before launching an experiment.
General Motors (GM)Investigate sample ratio mismatch and decide whether an experiment readout is trustworthy enough to ship.
General Motors (GM)Use customer feedback to identify the biggest pain points in the user journey.
General Motors (GM)Tests forecasting thinking and selection of drivers relevant to GM vehicle demand.
General Motors (GM)Explain how a primary metric differs from a guardrail metric and how both are used in A/B test decisions.
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