Lyft Business Intelligence Analyst (Junior Level) - Complete Interview Preparation Guide

Lyft's interview process for Business Intelligence and analytics roles typically consists of 6-7 rounds spanning 2-4 weeks. The process evaluates technical proficiency in SQL and Python for data analysis, statistical knowledge including A/B testing and experimental design, data visualization skills using tools like Tableau and Power BI, and business acumen to drive data-driven decision-making. For a Junior-level Business Intelligence Analyst, the process emphasizes foundational technical skills, learning ability, collaboration, and alignment with Lyft's data-driven culture. Early rounds focus on technical fundamentals, while later rounds assess business problem-solving and cultural fit.