Data Analyst

About Us At Rox, we believe in empowering people to do their best work. Our platform supercharges sellers with autonomous revenue agents to do the manual work so they can focus on what they do best: selling. Just as coding agents 10x’d engineering, revenue agents 10x customer work. We are reimagining the revenue stack by building the world’s first revenue operating system, from the application layer to the system of context. With Rox, humans are evolving to orchestrators while agents manage the end‑to‑end customer lifecycle. Rox powers Global 2000 leaders in banking, hardware, construction, and sovereign AI, while serving dominant AI winners like Ramp and Cognition. Underlying all of this success is a unwavering, shared belief in the mission, with an unreasonable commitment of doing whatever it takes to make it a reality. The Team Nothing is possible without the world‑class team, assembled to redefine how businesses operate. Members on our team have: Founded and exited successful companies Held the highest positions at Google, AWS, Confluent, and New Relic Won IMO and IOI gold medals Published field‑defining papers We’re backed by the best, having raised $50M from Sequoia (Alfred Lin), General Catalyst (Hemant Taneja), Google Ventures, Elad Gil, and Chris Ré. Core Principles Taste: Craft beautiful experiences. No matter how small, we strive to make sure every detail is right. We care deeply about every interaction, both in terms of whether it helps the seller get the job done, but also how the product makes them feel. We get a visceral feeling when something is off and stop at nothing to make sure we make it right. We never settle, continuously exploring ways to delight sellers. Obsession: Commit unreasonably. In all aspects of our craft, we commit. We not only are immediately reactive to customers’ requests but are proactive about driving value even before they ask. We are also obsessive about always learning and honing our craft, improving ourselves and product every single day. Action: Get it done. Talking is easy but the difference comes from the execution. We lean heavily towards making thoughtful yet fast decisions and delivering immediately. We play in a field where trust is paramount. We earn the trust and right to empower the best sellers by forging a history of over‑delivering on the promise at record speed. Role As a Data Analyst at Rox, you will power the intelligence layer behind the world’s first revenue operating system. You’ll be responsible for the metrics, insights, and analytical frameworks that shape how we build product, operate as a business, and help our customers transform their revenue organizations. This is a high‑ownership, high‑leverage role for someone who thrives at the intersection of data, GTM, product strategy, and operational excellence. You will work directly with leadership, engineering, and GTM pods to create clarity, drive decisions, and build the analytical foundations that scale with the company. If you love turning ambiguity into structured insight, building clean data models, and influencing business strategy with evidence, this is the role for you. Responsibilities Build and maintain dashboards, KPIs, and the company‑wide single source of truth for revenue, usage, and customer telemetry. Partner with GTM leaders to drive segmentation, funnel insights, measurement of workflow adoption and ROI. Ensure high‑quality data foundations through dbt‑style modeling, data consistency, instrumentation, and proactive improvement of data pipelines and reporting. Run deep product and usage analytics—including experimentation frameworks—to inform product development, activation, retention, and enterprise rollout success. Deliver strategic analyses and executive‑ready insights to support leadership, board materials, and new revenue motions. Create scalable documentation, metric dictionaries, automations, and enablement materials while onboarding teams into Rox’s data ecosystem. Qualifications Required Degree in a quantitative field (e.g., Mathematics, Economics, Computer Science, Engineering, Statistics) 2–5+ years experience in fast‑paced, high‑growth companies supporting Sales, Finance, or Product Strong SQL and Python skills, able to work efficiently with large, messy datasets Experience working with dbt ecosystems (e.g, paradime, dbt) Experience building dashboards in tools like Sigma, Looker, Tableau, Mode, or equivalent Exceptional analytical rigor and structured problem‑solving skills Strong communication skills, able to translate complex data into simple narratives for executives High energy, “no job is too small” mentality, and ability to operate with extreme ownership Ability to context‑switch rapidly and thrive in an environment of speed, ambiguity, and high expectations Located in or willing to relocate to San Francisco Preferred Experience working directly with GTM organizations and leadership teams Knowledge of revenue methodologies, KPIs, and operational models Familiarity with data warehousing technologies Experience designing semantic layers and metric governance processes Ability to build minimal data apps, Python scripts, or automations to scale workflows Experience supporting enterprise customers or working with B2B SaaS telemetry datasets Comfort presenting analytical findings to C‑suite or enterprise stakeholders Strong intuition for business levers, product adoption mechanics, and experimentation Benefits Competitive pay with considerable equity upside Health Insurance Apply To apply, please fill out the application form. 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