Drive bikeshare and scooter performance decisions across hardware, ops, and finance with SQL-heavy analysis

Lyft's Urban Solutions team is hiring a Data Analyst to improve bikeshare and scooter market performance across the US, partnering with Product, Engineering, Operations, and Finance. The role requires 3+ years of data analytics experience (consulting, ops, or transportation/logistics preferred), strong SQL and quantitative analysis, and comfort translating ambiguous operational problems into clear frameworks and forecasts. Expect questions on SQL-driven deep dives, building scalable reporting, and forecasting operational needs like staffing and asset maintenance.

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What this interview tests

SQL-heavy deep-dive analysis on operational performance data
Forecasting operational requirements (staffing, service levels, contractual targets)
Translating ambiguous cross-functional asks into scoped analyses
Building scalable reporting frameworks and dashboards
Structured thinking and error-reduction in analytical work
Presenting findings and recommendations to varied stakeholders (Ops, Product, Finance)