Data Analyst, Go-To-Market Sales Insights

<p>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.</p> <p>Data is at the heart of Lyft Business's products and decision-making. We're looking to hire a Data Analyst to build the tools and analytics that drive revenue for the sales organization behind Lyft's B2B portfolio — a multi-billion-dollar book of business spanning healthcare, business travel, corporate commute, automotive, and transit. This team has real say in what gets built.</p> <p>You will be the analytical partner to our Sales and account teams — someone who can translate findings into a clear narrative for both technical and non-technical audiences.</p> <h2><strong>Responsibilities:</strong></h2> <ul> <li>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</li> <li>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</li> <li>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</li> <li>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</li> <li>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</li> <li>Translate insights into a cohesive narrative and present technical findings to senior leadership and non-technical audiences</li> </ul> <h2><strong>Experience:</strong></h2> <ul> <li>Degree (or related work experience) with a focus in analytics, statistics, economics, computer science, or other quantitative fields</li> <li>3+ years of experience in a data analytics or business intelligence role, ideally supporting a sales, go-to-market, or B2B organization</li> <li>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</li> <li>Experience building production data assets — pipelines, data models, or orchestrated tables (Airflow, dbt, or similar) — not only ad-hoc analysis</li> <li>Proficiency in a data visualization tool like Tableau, Hex, Mode, or similar</li> <li>Experience with sales or account a