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NYGC Data Analyst Interview Questions

The questions to prepare for a NYGC Data Analyst interview. Questions from real interview reports rank first. Updated weekly.

20questions
~3htotal time
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1
PipelinesStart here. 3 questions · ~24 min
Data Quality in ETL PipelinesEasy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualityNYGC
Handling Missing Data in PipelinesMedium

Approach for handling missing data in an ML data pipeline, including validation, imputation, and safe downstream consumption.

InfrastructureETLBatch ProcessingNYGC
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2
Behavioral & Leadership11 questions · ~88 min
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3
More topics6 questions · ~48 min
Diagnose Databricks Engagement DropMedium

Diagnose a 17% drop in Databricks weekly engaged users by decomposing DAU/WAU, retention, sessions, and instrumentation changes.

Leading IndicatorsDiagnosisEngagement MetricsNYGC
Hypothesis Testing and RegressionMedium

Tests statistical modeling skills and ability to interpret results for decisions.

RegressionHypothesis TestingStatistical SignificanceNYGC
Writing a SQL Data Extraction QueryMedium

Tests SQL proficiency for retrieving the right data with correct filtering and logic.

JoinsGroup ByAggregationsNYGC
Choosing the Right MetricsMedium

Tests metrics thinking aligned to objectives and decision-making at NYGC.

North Star MetricKPIsDiagnosisNYGC
Statistical Analysis ApplicationsMedium

Tests practical use of statistics to support decisions and conclusions.

Confidence IntervalsHypothesis TestingStatistical SignificanceNYGC
SQL Tools and RationaleEasy

Tests your practical SQL and data manipulation tool choices and ability to justify them.

ToolsJoinsData WranglingNYGC

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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
Monthly Sales Trends by CategoryMedium
Practice
Practice drill

Aggregate monthly sales by product category and use LAG to calculate month-over-month changes.

InfrastructureToolsData WranglingTotal Wine & MoreInc.Benjamin Moore
Contact Center Agent Performance MetricsHard
Practice
Practice drill

Compute daily agent call KPIs and SLA using joins, aggregations, and window ranking in a contact center model.

ETLAggregationsData ModelingADP
Top Customers by Net SalesMedium
Practice
Practice drill

Compute top 10 customers by net sales using joins and aggregations, ordering by revenue with deterministic tie-breaking.

SubqueriesJoinsData WranglingGain DigitalTCSZest AI
The finish line: interview-readyComplete all 20 questions plus 3 hands-on drills to finish this plan.