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Revenue Operations Analyst

Revenue Operations Analyst transforms GTM and SaaS revenue data into executive insights, dashboards, forecasts, and planning recommendations. The role requires a bachelor’s degree, 5–7+ years of operations or analytics experience, advanced spreadsheet and BI skills, and strong Salesforce and SaaS-metrics expertise.

About the job

Responsibilities

  • Analyze pipeline health, bookings, retention and churn, product usage, ARR trends, cohorts, segments, and funnels to identify risks, opportunities, and performance drivers.
  • Create and maintain executive dashboards and produce weekly business reviews, monthly KPI reports, and C-level and Board reporting materials.
  • Support bookings forecasting, maintain CRM data integrity, and refine predictive models for capacity planning, rep productivity, territory performance, and quota setting.
  • Partner with Sales Management, Marketing Operations, Customer Success Operations, and Product Operations to unify data sources, workflows, definitions, and reporting standards.
  • Support annual and quarterly GTM planning, including quota setting, territory modeling, and headcount planning.
  • Measure process and enablement-program impact, track KPI performance, identify GTM process breakdowns, and recommend improvements.
  • Provide urgent executive analysis on win rates, product sales performance, average selling price, churn drivers, and related strategic topics.

Requirements

  • Bachelor’s degree in Business, Finance, Business Analytics, or a related field.
  • 5–7+ years of experience in Sales Operations, Revenue Operations, FP&A, or Business Analytics.
  • Expert proficiency in Excel or Google Sheets, including index/match, nested logic, pivot tables, and scenario modeling.
  • Proficiency with Salesforce reporting, business intelligence tools, SQL, and Python.
  • Strong understanding of SaaS metrics, including ARR, NRR, CAC/LTV, and pipeline conversion rates.
  • Ability to translate complex data into clear narratives and present findings to senior leadership.
  • High attention to detail, comfort working with large datasets, and ability to execute quickly in a fast-paced environment.
  • Ability to travel up to 10%.

Nice-to-haves

  • Experience supporting sales organizations with complex, multi-product offerings.
  • Familiarity with enterprise software or subscription business models.
  • Experience with RevTech tools such as Salesforce, Tableau, Power BI, Pendo, and Gainsight.

Skills

Excel, Google Sheets, Salesforce, Looker, Tableau, Power BI, SQL, Python, Pendo, Gainsight, Snowflake, Marketo, Revenue Forecasting, Data Modeling, SaaS Metrics

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