Revenue Operations Analyst

About The Role The role sits at the center of revenue operations: owning the systems, data pipelines, and analytics that connect marketing, sales, and customer success into one measurable funnel. About The Role The role sits at the center of revenue operations: owning the systems, data pipelines, and analytics that connect marketing, sales, and customer success into one measurable funnel. You will maintain and improve the go-to-market tech stack (CRM, marketing automation, enrichment, BI), build reliable reporting on pipeline and forecast health, and translate operational friction into process and tooling changes. Key Responsibilities Build and maintain pipeline, forecast, and rep-productivity dashboards in Looker, Tableau, or SQL-based BI tools Administer and optimize the CRM (Salesforce) — objects, validation rules, flows, and permission sets — and partner with RevOps engineering on larger automations Own data hygiene across lead-to-revenue systems: deduplication, enrichment (Clearbit, ZoomInfo), and territory/account assignment logic Partner with Finance on bookings, quota attainment, and commission reporting; reconcile CRM data against the GL Design and document sales processes — lead routing, stage definitions, deal reviews — and drive adoption with sales leadership Evaluate, implement, and administer GTM tools (HubSpot/Marketo, Gong, Outreach, Clari) including vendor onboarding and license management Surface insights and risks to leadership through weekly pipeline reviews and quarterly business reviews What We Are Looking For 3-6 years in revenue operations, sales operations, business analysis, or a comparable analytics-heavy role Hands-on Salesforce administration experience (flows, reports, dashboards); Salesforce Admin certification a plus Strong SQL skills and comfort building analyses from raw CRM and product data Experience with marketing automation and sales engagement platforms (Marketo, HubSpot, Outreach, or similar) Track record of shipping process or tooling changes with measurable impact on pipeline velocity or forecast accuracy Clear communicator who can work across sales, finance, and data teams and push back with data when needed Bonus: Python or dbt for pipeline automation, CPQ experience, experience supporting ARR reporting or SaaS metrics (NRR, CAC payback) #J-18808-Ljbffr