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Revenue Operations Analyst

WorkWave
Remote, USA
Full-time
Senior · 5+ years experience
Remote
USD 100000-120000 yearly / year
Discovered Yesterday
Google SheetsSalesforceLookerTableauSQLPython
Free

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  • Data Analysis & Insights: Analyze core metrics (pipeline health, bookings, retention/churn, product usage, and ARR trends) to identify risks, opportunities, and performance drivers. Perform detailed cohort, segmentation, and funnel analysis.
  • Reporting & Dashboarding: Own the creation and maintenance of executive-level dashboards (Salesforce, Looker/Tableau, or equivalent). Produce weekly business reviews, monthly KPI reports, and materials that support the C-level and Board reporting process.
  • Forecasting & Modeling: Support the bookings forecast process and ensure sales data integrity within the CRM. Maintain and refine predictive models for capacity planning, rep productivity, territory performance, and support quota-setting exercises.
  • Cross-Functional Reporting Support: Partner with Sales Management, Marketing Ops, CS Ops, and Product Ops to unify data sources and workflows (Salesforce, Pendo, Gainsight, Marketo, Snowflake, etc.). Ensure consistent data definitions and reporting standards across functions to support end-to-end funnel attribution.
  • Annual and Quarterly Planning: Provide data-driven insights to support annual and quarterly GTM initiatives, including quota-setting, territory modeling, and headcount planning.
  • Process Measurement & Optimization: Measure the impact of new processes and enablement programs. Track KPI performance, identify GTM process breakdowns, and recommend operational changes to enhance efficiency and productivity.
  • Ad-hoc Executive Analysis: Respond quickly to high-urgency requests from the VP of RevOps, CRO, and CFO with clean, accurate deep dives on win rates, product sales performance, ASP, churn drivers, and related strategic topics.
  • Bachelor’s degree in Business, Finance, Business Analytics, or related field.
  • 5-7+ years of experience in Sales Operations, Revenue Operations, FP&A, or Business Analytics.
  • Expert-level proficiency in Excel/Google Sheets ( (index/match, nested logic, pivot tables, scenario modeling).
  • Proficiency in Salesforce reporting and Business Intelligence (BI) tools (e.g., Looker, Tableau, PowerBI, SQL, Python).
  • Strong understanding of core SaaS metrics (ARR, NRR, CAC/LTV, pipeline conversion rates).
  • Demonstrated ability to translate complex data into clear narratives and present findings to senior leadership.
  • High attention to detail, comfort working with large datasets, and a proven ability to execute quickly in a fast-paced environment.
  • Ability to travel (10%)
  • Prior experience supporting sales organizations with complex, multi-product solution offerings.
  • Familiarity with enterprise software or subscription business models.
  • Experience with advanced RevTech tools like SalesForce, Tableau, PowerBI, Pendo and Gainsight.

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