Lyft Business & Services Familiarity Questions
Familiarity with Lyft's business model, core products and services (ridesharing platform, mobility offerings, pricing strategy), partnerships, and market positioning as part of understanding the company's business and culture.
MediumTechnical
0 practiced
As a senior BI analyst, how would you mentor a junior analyst at Lyft to write production-grade SQL and build stakeholder-ready dashboards? Provide a 3-month plan including learning objectives, code review practices, testing/checks, and measurable outcomes.
HardSystem Design
0 practiced
Design a scalable BI data platform for Lyft that can ingest 100M trip-related events per day (petabyte-year scale), support near-real-time dashboards and ad-hoc self-service queries, and enforce data governance. Provide an architecture diagram in text, explaining ingestion, storage, streaming vs batch, transformation, serving layer, and access control.
MediumTechnical
0 practiced
You want to measure the causal impact of a new loyalty program 'Lyft Rewards' on rider retention. Outline an experimental or quasi-experimental approach you would recommend, specifying treatment assignment, primary and guardrail metrics, sample size considerations, and how to handle contamination or eligibility changes mid-test.
EasyTechnical
0 practiced
Explain, at a high level, how surge (dynamic) pricing works in ride-hailing and then describe three BI metrics or visualizations you would build to monitor surge fairness and rider impact. For each metric explain the data sources and a short alerting rule.
HardTechnical
0 practiced
Leadership question: A debate erupts across product, finance, and operations about the correct north-star metric (gross bookings vs active riders vs contribution margin). As a senior BI analyst, outline a process to lead alignment, including stakeholder mapping, evidence to gather, analyses to run, and how to operationalize the final decision across teams and dashboards.
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