Revenue Operations Analyst
About The Role The role sits at the intersection of data, systems, and go-to-market execution: building the reporting, forecasts, and process infrastructure that sales, marketing, and finance teams rely on to make decisions. The RevOps team is the engine room of a scaling technology company. This role owns pipeline analytics, CRM health, and revenue forecasting — turning messy data from Salesforce, HubSpot, and internal systems into dashboards and insights leadership actually uses.
Key Responsibilities
Build and maintain revenue dashboards in Looker, Tableau, or Power BI covering pipeline coverage, conversion rates, rep performance, and forecast accuracy Administer and optimize Salesforce: manage objects, fields, validation rules, and automation using Flow or Process Builder to keep CRM data clean and adoption high Own the weekly and monthly forecasting process, reconciling sales-provided numbers against actuals and modeling scenarios in Excel or SQL Partner with sales, marketing, and finance leadership on territory design, quota planning, and compensation model analysis Write SQL queries and build ETL workflows (dbt, Airflow, or similar) to unify data from Salesforce, HubSpot, billing systems, and product databases Evaluate and implement GTM tooling — enrichment, routing, attribution, and enablement platforms — including vendor selection and rollout management Document and improve lead-to-revenue processes, identifying friction points and shipping measurable fixes What We Are Looking For 3-6 years of revenue operations, sales operations, or business analysis experience, ideally in B2B SaaS Advanced Salesforce administration skills (clean data models, automation, reporting); Salesforce Admin certification a plus Strong SQL skills and comfort building analyses from raw data; hands-on experience with a BI tool (Looker, Tableau, or Power BI) Experience supporting forecasting, quota, or territory planning processes with finance or sales leadership Deep Excel or Google Sheets modeling skills and the ability to clearly communicate analysis to executives Bachelor's degree in a quantitative field (economics, finance, statistics, engineering) or equivalent practical experience Bonus: experience with Python or R for analysis, dbt/ETL tooling, CPQ or billing systems, or building GTM tech stacks from scratch