Lyft
Mid
Bridge AV depot operations and rideshare data to drive Lyft's next-generation transportation decisions
Lyft is hiring a Data Analyst embedded in its Autonomous Vehicle and Fleet Operations org, spanning both AV depot operations and the AV rideshare network. The role owns dashboards, KPI definition, and cross-functional analysis for a fast-moving, ambiguous new business line, reporting into the Senior Analytics Manager with senior leadership visibility — hybrid in Toronto, 3 days/week.
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What this interview tests
- SQL and raw data modeling; Python as a plus
- Defining and defending KPIs/metrics in an ambiguous, new business line
- Building dashboards and reports for cross-functional stakeholders
- P&L/financial modeling collaboration with FP&A
- Bridging operations (fleet/depot) and technical/data teams
- Stakeholder management across Ops, Finance, Product, Data Science, Engineering
Common question themes
Walk me through a SQL query or data model you built from raw, messy data to answer a business question
How would you define a KPI for a brand-new AV depot operation with no historical baseline
Tell me about a time you had to package a technical analysis for a non-technical operations leader
How do you manage incoming ad hoc data requests from external partners while protecting your roadmap
Describe navigating ambiguity on a project where the business itself was still being defined
What's your experience connecting data analysis to P&L or financial modeling outcomes
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