Jobs · Analyst

Revenue Operations Analyst

Evlo AI · Denver, CO · 5 days ago
RemoteRemoteAnalystFull-time
About The Role The role sits at the center of revenue operations: owning the systems, data pipelines, and analytics that connect CRM, billing, and marketing automation into a single source of truth for the go-to-market organization. You will build dashboards and automated workflows that leadership actually uses, troubleshoot broken processes across Salesforce and adjacent tools, and translate business questions into data models and measurable recommendations. Key Responsibilities Own and administer Salesforce objects, validation rules, and automation (Flows, Process Builder) as the system of record for the sales organizationBuild and maintain dashboards and reports in Looker, Tableau, or Salesforce reports covering pipeline health, forecast accuracy, and rep productivityDesign and monitor data pipelines between Salesforce, billing systems, and the data warehouse (SQL required; dbt or Snowflake a plus)Partner with sales leadership on territory design, quota setting, and commission calculations; audit results each quarterDocument and improve core RevOps processes: lead routing, opportunity hygiene, deal desk, and handoffs between marketing, sales, and CSEvaluate and roll out GTM tooling (enrichment, sequencing, CPQ) and manage admin/vendor relationshipsInvestigate data discrepancies and root-cause issues across systems before leadership asks What We Are Looking For 3-6 years in revenue operations, sales operations, business analysis, or CRM administration at a B2B SaaS or technology companyDeep hands-on Salesforce experience: objects, reports, dashboards, and basic automation; Salesforce Administrator certification preferredStrong SQL skills and comfort building analysis in spreadsheets or a BI tool (Looker, Tableau, Power BI)Experience with at least one adjacent GTM tool: HubSpot, Outreach, Gong, Clari, or CPQ solutionsClear written communication — able to document processes and explain trade-offs to both technical and executive audiencesBachelor's degree in a quantitative field, business, or equivalent practical experienceBonus: Python for analysis or automation, dbt/Snowflake experience, revenue recognition or commissions administration experience, and experience supporting a company through rapid scaling or a CRM migration

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