Sales Analyst Jobs

About The Position

Requirements

• 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
• Commercial 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 time
• A track record of influencing business decisions through analysis, and an ownership mindset toward the metrics and datasets you build
• Strong analytical skills with the ability to tackle ambiguous problems, break them down, and deliver clear, actionable insights
• Excellent communication skills, with the ability to present complex data to a variety of stakeholders clearly and compellingly
• A strong attention to detail and a commitment to data accuracy and integrity
• Ability to collaborate across functions, manage competing priorities, and drive projects to completion

Nice To Haves

• Experience with sales or account analytics — pipeline, bookings, pacing to target, account segmentation — is a strong plus
• Experience with Python for data analysis and automation is a strong plus

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 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

Benefits

• Great medical, dental, and vision insurance options with additional programs available when enrolled
• Mental health benefits
• Family building benefits
• Child care and pet benefits
• 401(k) plan with company match to help save for your future
• In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off
• 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
• Subsidized commuter benefits
• Monthly Lyft credits and complimentary Lyft Pink membership