Lyft
Mid
Own the Self-Serve funnel analytics that steer Lyft Business's fastest-growing B2B segment
This is Lyft's Data Analyst role dedicated to the Self-Serve segment of Lyft Business, owning funnel analytics from acquisition through onboarding to engagement. You'll be tested on SQL depth, funnel/A/B rigor, and the discipline to turn one-off reporting into reusable datasets and metric definitions the whole team trusts.
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What this interview tests
- SQL proficiency on large datasets
- Funnel analytics and conversion measurement
- A/B testing and experiment design
- Metric definition and dataset ownership
- Data quality / instrumentation validation
- AI-assisted analytics with human validation
Common question themes
Walk through how you'd instrument and own a signup-to-engagement funnel
Tell me about a time you turned a recurring one-off report into a reusable dataset
How would you detect a data quality issue in a new feature launch before it distorts results
Design an experiment to measure the impact of an onboarding change
How do you decide what a metric 'means' when different teams define it differently
How do you use AI/LLM tools in your analysis workflow while ensuring accuracy
Tell me about presenting a data-driven recommendation to non-technical leadership
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