You own direct relationships with Sales and Account Management leadership, acting as a trusted analytical partner who regularly presents findings, leads business rhythm conversations, and proactively flags risks and opportunities with clear recommended actions.
You own end-to-end analytical coverage of GTM and revenue metrics including pipeline health, MRR/NRR movements, expansion signals, cross-sell coverage, and regional performance, partnering with RevOps and Finance to define the single source of truth.
You design and run LLM-powered analytical workflows (using Claude, GPT, or similar) for automated insight generation, narrative summaries, anomaly detection, and translating unstructured signals into structured analytical inputs.
You build automated reporting and alerting pipelines using tools like n8n, Zapier, or Make, replacing manual analytical tasks with intelligent, scheduled workflows that deliver insights at scale.
You develop AI-powered self-serve tools that enable stakeholders to query data in natural language, democratizing access to insights across the GTM organization.
You build, maintain, and develop the reporting layer in Snowflake — including dbt models, data dictionaries, and metric definitions — that powers GTM and revenue reporting, managing version-controlled codebases (Git) independently.

3+ years of experience in data analytics, revenue analytics, or a similar role in a B2B SaaS or high-growth environment, with hands-on experience working with CRM data (Salesforce or HubSpot preferred) and RevOps datasets.
You are proficient in SQL and have strong experience with at least one BI tool (Tableau, Looker, or equivalent), with the ability to extract, transform, and analyze data independently.
You have hands-on experience with AI and LLM tools (such as Claude, GPT, or similar) and can design and implement AI-powered analytical workflows for automation, insight generation, and anomaly detection.
You possess strong business acumen and can form clear opinions on GTM performance, understand what drives revenue outcomes, and translate data into actionable recommendations for senior stakeholders.
You have excellent communication skills, able to distill complex analytical findings into clear, compelling narratives for non-technical audiences and confidently present to Sales and Account Management leadership.
You are comfortable with data infrastructure and automation, including experience with dbt, version control (Git), and ideally automation tools like n8n, Zapier, or Make to build scalable analytical pipelines.
You work autonomously and proactively, spotting risks and opportunities before being asked, and driving analytical projects from ambiguous business questions to clear, actionable insights.

Receive a competitive reward package – reevaluated each year – that includes salary, benefits, and pre-IPO equity
Enjoy 28 days of paid vacation, plus an additional day after 2 and 4 years
Make an impact on the environment and society with 1 (fully paid) Impact Day
Receive generous family leave, child support, mental health support, and sabbatical opportunities
We enjoy gathering for meals, cultural initiatives, and events like local Summer Sessions and year-end celebrations. There's also healthy snacks, drinks, and a weekly catered lunch.

Data Analyst – Revenue, AI

Key skills