Merrill Data Analyst Interview Questions
The questions to prepare for a Merrill Data Analyst interview. Questions from real interview reports rank first. Updated weekly.
Explain how to evaluate whether an A/B test result is statistically significant and how to interpret the result.
MerrillExplain what statistical significance means and why it matters when interpreting experimental or analytical results.
MerrillCompare ETL and ELT, and explain when ELT is the better pipeline pattern.
MerrillApproach for maintaining data quality and integrity across ETL pipelines.
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Choose a focused KPI set for a new dashboard by tying metrics to product value, business goals, and leading versus lagging signals.
MerrillTests your approach to analyzing portfolio performance data and translating results into actionable decisions.
MerrillExplain SQL window functions and when to use ROW_NUMBER() versus DENSE_RANK() for ranked ticket analysis.
MerrillTests approach to ranking and aggregation for identifying top clients from trading volume data.
MerrillRank the top 3 completed rides per vehicle per day using joins, a CTE, and ROW_NUMBER.
WaymoUse ROW_NUMBER() to keep the earliest created_at 'Repl created' per entity and return out-of-order duplicates to delete.
Replit
QuantcastCompute per-vehicle daily autonomous vs manual seconds from state-change logs using LEAD and conditional aggregation.