Revenue Operations Analyst

Gusto, Inc.•Scottsdale, AZ

8h•Hybrid

About The Position

The Revenue Operations Analyst will help power Gusto Retirement’s go‑to‑market engine with trustworthy data and decision‑ready insights. This role will influence the strategy development & execution for the Retirement route to market. The analyst will spend most of their time building ad‑hoc analyses and dashboards that help Revenue leaders understand pipeline, performance, and opportunities to grow with equal focus on both Sales and Marketing functions. AI will be used daily to standardize data, automate routine work, and prototype creative solutions to make teams smarter and faster.

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.

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).
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 standardized reporting that provide self‑serve visibility into performance and funnel health.
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.
Partner with Sales, Marketing, and Product to design creative solutions—from lightweight prototypes to repeatable workflows and automations.
Translate ambiguous business questions into structured problem statements, clear metrics, and analysis plans, then summarize findings into 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.