Data Analyst, SMB Self-Serve
Core
Data Analyst supporting Lyft's Self-Serve B2B product team by turning product and customer data into insights that shape strategy for small and mid-size businesses.
Role type
Data Analyst (Product Analytics)
Builds
Dashboards, reusable datasets, and AI analytics tooling for the Self-Serve product team.
Domain
Ride-sharing / Mobility / B2B SaaS
Deliverable
dashboards & analysis
Required skills
SQL, funnel analytics, conversion measurement, A/B testing, data visualization (Tableau/Looker/Mode), Python, data stack tooling (Airflow/dbt), AI tool validation
Preferred skills
Experience in product/growth/B2B context, Python for automation, modern data stack familiarity
Technologies
SQL, Python, Tableau, Looker, Mode, Airflow, dbt, LLM assistants
Responsibilities
Produce high-impact analyses on Self-Serve performance to inform product and go-to-market strategy; Own the Self-Serve funnel (acquisition, signup, onboarding, engagement) building dashboards and datasets; Define core metrics and data definitions to ensure consistency across tools; Partner with Product and Engineering to validate instrumentation and surface data gaps; Turn recurring reporting into well-defined, reusable datasets; Identify workflows for automation and help build reliable AI analytics tooling; Conduct deep-dive analyses and design experiments to measure business impact; Translate insights into a cohesive narrative for senior leadership and non-technical audiences.
Seniority
Mid-level (3+ years experience)
