Data Analyst, Go-To-Market Sales Insights

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.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.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.Responsibilities: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 nextField 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 scopeBuild 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 firstDefine what the team's core metrics mean and where they live, so every dashboard, report, and tool returns the same answer to the same questionContribute to the internal tools and semantic layer — prompts, context, and guardrails — that let stakeholders query B2B data in natural language and trust what comes backTranslate insights into a cohesive narrative and present technical findings to senior leadership and non-technical audiencesExperience:Degree (or related work experience) with a focus in analytics, statistics, economics, computer science, or other quantitative fields3+ years of experience in a data analytics or business intelligence role, ideally supporting a sales, go-to-market, or B2B organizationProficiency 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 stakeholdersExperience building production data assets — pipelines, data models, or orchestrated tables (Airflow, dbt, or similar) — not only ad-hoc analysisProficiency in a data visualization tool like Tableau, Hex, Mode, or similarExperience with sales or account analytics — pipeline, bookings, pacing to target, account segmentation — is a strong plusExperience with Python for data analysis and automation is a strong plusCommercial instinct paired with a builder's instinct — a track record of turning a recurring request into a durable tool or dataset instead of answering it one more timeA track record of influencing business decisions through analysis, and an ownership mindset toward the metrics and datasets you buildStrong analytical skills with the ability to tackle ambiguous problems, break them down, and deliver clear, actionable insightsExcellent communication skills, with the ability to present complex data to a variety of stakeholders clearly and compellinglyA strong attention to detail and a commitment to data accuracy and integrityAbility to collaborate across functions, manage competing priorities, and drive projects to completionBenefits:Great medical, dental, and vision insurance options with additional programs available when enrolledMental health benefitsFamily building benefitsChild care and pet benefits401(k) plan with company match to help save for your futureIn addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligibleSubsidized commuter benefitsMonthly Lyft credits and complimentary Lyft Pink membershipLyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #HybridThe expected base pay range for this position in the San Francisco area is $98,000 - $122,500, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.