The opportunity
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.
What you'll do
Build the tools and analytics sales leaders use to grow their accounts: pacing views, account-health signals, territory and segment views that change what a rep or manager does next
Field requests from Sales, Product, Finance, Legal, leadership, and external: stakeholders, and decide what's worth building, what's worth a sharp piece of analysis, and what's out of scope
Build and maintain production data pipelines, and automate recurring: workflows, with documentation and validation clear enough that a teammate — or an AI agent — can use them without asking you first
Define what the team's core metrics mean and where they live, so every: dashboard, report, and tool returns the same answer to the same question
Contribute to the internal tools and semantic layer: prompts, context, and guardrails — that let stakeholders query B2B data in natural language and trust what comes back
Translate insights into a cohesive narrative and present technical findings: to senior leadership and non-technical audiences
What they're looking for
- Degree (or related work experience) with a focus in analytics, statistics,: economics, computer science, or other quantitative fields
- + years of experience in a data analytics or business intelligence role,: ideally supporting a sales, go-to-market, or B2B organization
- Proficiency in SQL: able to read, write, and review structured, efficient queries on large data sets, whether you wrote them yourself or an AI coding assistant did; you own the correctness of every query and result before it reaches stakeholders
- Experience building production data assets: pipelines, data models, or orchestrated tables (Airflow, dbt, or similar) — not only ad-hoc analysis
