Revenue Operations Analyst

About Gusto

At Gusto, were on a mission to grow the small business economy. We handle the hard stuff — payroll, health insurance, 401(k)s, and HR — so owners can focus on their craft and their customers.

With teams in Denver, San Francisco, and New York, we support more than 500,000 small businesses nationwide and are building a workplace that reflects the people we serve.

All full-time employees receive competitive base pay, benefits, and equity (RSUs) — because everyone who helps build Gusto should share in its success. Offer amounts are determined by role, level, and location. Learn more about our Total Rewards philosophy .

AI is a fundamental part of how work gets done at Gusto. We expect all team members to actively engage with AI tools relevant to their role and grow their fluency as the technology evolves. AI experience requirements vary by role and will be assessed during the interview process.

About the Role

The Revenue Operations Analyst will help power Gusto Retirement’s go‑to‑market engine with trustworthy data and decision‑ready insights. You will influence the strategy development & execution for the Retirement route to market.

You’ll spend most of your time building ad‑hoc analyses and dashboards that help Revenue leaders understand pipeline, performance, and opportunities to grow with equal focus on both our Sales and Marketing functions.

You’ll use AI every day to standardize data, automate routine work, and prototype creative solutions that make our teams smarter and faster.

About the Team

You’ll join our Revenue Operations team supporting Gusto’s revenue organization, with a focus on our Retirement Sales business. We help teams understand whats happening across the full revenue funnel—from marketing attribution and campaign performance to sales pipeline and conversion—and where to invest next.

The team values clear thinking, tight execution, and a bias toward experimentation with AI to improve how we work. You’ll partner closely with the Revenue leadership team and fellow operators to turn questions into structured analyses and actionable recommendations.

Here’s what you’ll do day-to-day

• 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). Use AI tools to clean, enrich, and standardize data (e.g., de‑duping, categorization, text cleanup, field mapping) and to document assumptions and workflows.
• Build and maintain revenue dashboards and standa