Revenue Operations Analyst

Responsibilities

• Own and improve processes moving leads, accounts, contacts, and opportunities through the revenue funnel.
• Maintain attribution across inbound, outbound, product-led growth, partner, referral, and event motions.
• Improve lead, account, and opportunity routing, including territory rules, ownership logic, rules of engagement, and exception handling.
• Build and maintain Salesforce reports, dashboards, fields, flows, validation rules, and other process configuration.
• Support pipeline reviews and forecasting by improving opportunity hygiene, stage accuracy, close dates, next steps, and follow-through.
• Build reporting across funnel conversion, pipeline health, source performance, rep productivity, and operational SLAs.
• Investigate and resolve data quality issues across Salesforce, Snowflake, marketing systems, sales engagement tools, and product usage data.
• Use Computer and other AI tools to automate research, enrichment, routing, pipeline inspection, quality assurance, documentation, and repetitive operational work.
• Partner with Sales Systems Engineering on larger integrations and technical projects while owning business requirements, testing, rollout, and adoption.
• Document processes, train users, and provide operational support to sales representatives and front-line leaders.

Requirements

• 3+ years of experience in Revenue Operations, Sales Operations, Marketing Operations, Business Systems, or a similar role at a high-growth B2B company.
• Hands-on Salesforce experience, including reports, dashboards, data models, flows, validation rules, and process configuration.
• Strong SQL and analytical skills, with the ability to pull data, reconcile discrepancies, and translate findings into action.
• Strong understanding of B2B sales processes, including attribution, routing, account ownership, opportunity stages, pipeline inspection, and forecasting inputs.
• Strong troubleshooting skills across processes, data, systems, and user behavior.
• Experience leading operational projects from problem definition through rollout with minimal supervision.
• Clear communication, strong attention to detail, and interest in using AI to automate repetitive work.