Revenue Operations Analyst — Miami, FL

About The Role

The Revenue Operations Analyst owns the data, systems, and reporting layer behind sales and go-to-market execution. This role sits at the intersection of CRM administration, pipeline analytics, and business process design — ensuring forecasts are accurate, territories are clean, and revenue teams have the dashboards they need to make decisions.

This is a high-visibility role for a revenue-generating part of the business. The analyst will partner with sales leadership, finance, and data engineering to instrument the funnel, diagnose conversion issues, and keep the revenue tech stack running reliably.

Key Responsibilities

• Own CRM administration and configuration in Salesforce — objects, validation rules, flows, and permission sets

• Build and maintain dashboards and reporting in Salesforce, Looker, or Tableau covering pipeline health, forecast accuracy, and rep productivity

• Analyze funnel and pipeline metrics to identify conversion drop-off, territory imbalance, and quota attainment gaps; present findings to sales leadership

• Design and execute territory planning, lead routing, and account assignment logic in coordination with sales ops and finance

• Support weekly, monthly, and quarterly forecast cycles; audit data quality and reconcile discrepancies between CRM and billing systems

• Evaluate, implement, and administer revenue tech stack tools (e.g., Gong, Clari, Outreach, ZoomInfo) and manage integrations via APIs and middleware

• Document RevOps processes and playbooks, and drive adoption of system changes across sales and marketing teams

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; Admin certification preferred

• Strong SQL skills and hands-on experience with a BI tool (Looker, Tableau, or Power BI)

• Experience with forecasting processes, quota/territory planning, or pipeline analytics

• Comfortable with Excel/Google Sheets modeling and presenting analysis to leadership

• Bachelor's degree in business, economics, data analytics, or a related field, or equivalent practical experience

• Bonus: experience with CPQ, billing systems (Stripe, NetSuite), dbt, Python, or API-based tool integrations