Lyft Customer Insights Analyst Interview Questions
The questions to prepare for a Lyft Customer Insights Analyst interview. Questions from real interview reports rank first. Updated daily.
Use CTEs, joins, and date functions to compare month-1 retention across rider signup cohorts.
LyftUse CTEs, joins, and date logic to compare 30-day activity rates across monthly signup cohorts.
LyftCompare customer behavior before and after a product change while avoiding misleading pre-post conclusions.
LyftEstimate sample size for an engagement experiment, define MDE and guardrails, and pre-register the analysis plan.
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Explain which statistical methods fit customer segmentation, including how to handle scale, variance, and correlated features.
LyftExplain how to use confidence intervals when presenting customer insights.
LyftExplain what drives you as a Research Analyst, grounded in how research creates product value for users and teams.
LyftAssess whether a new SMB onboarding flow increased activation, identify which funnel steps changed, and check for retention or monetization tradeoffs.
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