Lyft Business Intelligence Analyst Interview Preparation Guide (Mid-Level)
Business Intelligence Analyst
Lyft
Mid Level
7 rounds
Updated 11/23/2025
Lyft's Business Intelligence Analyst interview process combines technical assessments (SQL, data modeling, BI tool proficiency), analytical case studies grounded in ride-sharing business problems, dashboard design challenges, and behavioral evaluations. The process assesses your ability to own analytics projects end-to-end, translate business requirements into actionable dashboards and reports, maintain data quality at scale, mentor junior team members, and collaborate effectively across product, operations, and engineering teams to drive data-informed decision-making.
Interview Rounds
1
Recruiter Screening
30 min4 focus topicsculture fit
2
Technical Phone Screen - SQL and Data Querying
50 min4 focus topicstechnical
3
Onsite Round 1 - Advanced SQL and Data Analysis
60 min4 focus topicstechnical
4
Onsite Round 2 - Dashboard Design and BI Tools Assessment
75 min5 focus topicstechnical
5
Onsite Round 3 - Business Analytics Case Study
60 min4 focus topicscase study
6
Onsite Round 4 - Collaboration and BI Architecture
50 min5 focus topicstechnical
7
Onsite Round 5 - Behavioral Interview and Leadership Potential
50 min5 focus topicsbehavioral
Additional Information