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

Degree (or related work experience) with a focus in analytics, statistics, economics, computer science, or other quantitative fields

3+ 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

Proficiency in a data visualization tool like Tableau, Hex, Mode, or similar

Experience with sales or account analytics — pipeline, bookings, pacing to target, account segmentation — is a strong plus

Data Analyst, Go-To-Market Sales Insights

Responsibilities

Qualification

Required

Preferred

Benefits

Company

Lyft

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