Revenue Operations Analyst

Gusto Gusto · Fintech · Atlanta, GA +2 · Remote · Sales

This role focuses on leveraging AI tools for data analysis, reporting, and automation within a revenue operations context. The primary goal is to provide insights and support for sales and marketing functions, using AI to enhance data quality, standardize processes, and prototype solutions. While AI tools are integral to the daily workflow, the role itself is not about building or researching AI models, but rather about applying existing AI capabilities to improve business operations and decision-making.

What you'd actually do

  1. Own fast, accurate ad‑hoc reporting and analysis to answer questions from Revenue leadership and cross‑functional partners (e.g., pipeline, conversion, marketing attribution, campaign performance, productivity, and forecasting).
  2. Use AI tools to clean, enrich, and standardize data (e.g., de‑duping, categorization, text cleanup, field mapping) and to document assumptions and workflows.
  3. Build and maintain revenue dashboards and standardized reporting that provide self‑serve visibility into performance and funnel health.
  4. Support Marketing with reporting on lead generation, campaign ROI, channel attribution, and funnel contribution, partnering closely with marketing stakeholders to define metrics and build self-serve visibility.
  5. Partner with Sales, Marketing, and Product to design creative solutions—from lightweight prototypes to repeatable workflows and automations.

Skills

Required

  • 2–5 years of experience in revenue analytics, business/revenue operations, product operations, or a similar analytical role, ideally in a SaaS or sales‑driven environment.
  • Hands‑on experience querying and transforming data using SQL and spreadsheets (Google Sheets/Excel), and building dashboards or reports in BI tools (e.g., Tableau, Looker, Mode, or Salesforce reports).
  • Familiarity with CRM and GTM systems (e.g., Salesforce, sales engagement or marketing automation tools) and comfort turning business questions into analysis requirements.
  • Strong analytical and problem‑solving skills with a high bar for data quality, attention to detail, and the ability to prioritize among competing requests.
  • Clear, concise communication skills—you can turn complex analysis into simple stories, recommendations, and visuals for non‑technical stakeholders.
  • Bachelor’s degree in a quantitative, business, or related field (e.g., economics, statistics, business, engineering) or equivalent practical experience.

Nice to have

  • AI fluency: you regularly use AI tools to clean data, structure datasets, generate code or formulas, summarize insights, or prototype new reporting/automation workflows, and you’re eager to stay current on emerging AI capabilities.

What the JD emphasized

  • Demonstrated AI fluency: you regularly use AI tools to clean data, structure datasets, generate code or formulas, summarize insights, or prototype new reporting/automation workflows, and you’re eager to stay current on emerging AI capabilities.