Gusto, Inc. - Revenue Operations Analyst
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Requirements
• 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. • 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. • 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. • Our cash compensation amount for this role is targeted at $107,235 - $126,000 in San Francisco and New York, and $88,510 - $104,000 in Denver and most remote locations. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above. • Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale. • 2-3 days • Note: The San Francisco office expectations encompass both the San Francisco and San Jose metro areas. • When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required. This includes non-office days for hybrid employees. • Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto.
Responsibilities
• 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). • ad‑hoc reporting and analysis • Use AI tools to clean, enrich, and standardize data (e.g., de‑duping, categorization, text cleanup, field mapping) and to document assumptions and workflows. • AI tools • Build and maintain revenue dashboards and standardized reporting that provide self‑serve visibility into performance and funnel health. • dashboards and standardized reporting • 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. • partnering closely with marketing stakeholders to define metrics • Partner with Sales, Marketing, and Product to design creative solutions—from lightweight prototypes to repeatable workflows and automations. • creative solutions • Translate ambiguous business questions into structured problem statements, clear metrics, and analysis plans, then summarize findings into decision‑ready narratives. • decision‑ready narratives • Proactively monitor data quality, investigate anomalies, and propose fixes that keep our reporting accurate, consistent, and trustworthy. • Contribute to and maintain documentation for data definitions, metric logic, and reporting standards, so stakeholders have a single source of truth. • data definitions, metric logic, and reporting standards
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