Revenue Operations Analyst

About The Role

The role sits at the intersection of sales strategy, data analytics, and systems engineering, serving as the engine that powers the go-to-market motion. This position focuses on optimizing the revenue funnel by building robust data pipelines, maintaining CRM integrity, and translating complex datasets into actionable insights for sales leadership. The team works to eliminate operational friction and scale business processes. By partnering closely with Sales, Marketing, and Customer Success, the role ensures that systems, data, and processes are aligned to drive efficient revenue growth and clear visibility into performance metrics.

Key Responsibilities

• Manage and optimize the Salesforce CRM instance, including building custom workflows, validation rules, page layouts, and process builders to support sales processes
• Design, build, and maintain automated dashboards and reports in Tableau or Looker to track key sales metrics, pipeline health, and representative performance
• Analyze historical sales data to build forecasting models and identify trends, bottlenecks, or opportunities within the buyer journey
• Partner with Sales and Marketing teams to manage the lead routing logic and lead-to-account matching processes using tools like LeanData or Marketo
• Conduct weekly data hygiene audits, reconciling discrepancies between CRM, billing, and product analytics databases to ensure a single source of truth
• Train onboarding sales representatives on CRM best practices, tool usage, and standard operating procedures to ensure process compliance

What We Are Looking For

• 2-4 years of experience in Revenue Operations, Sales Operations, or Business Analyst roles at a high-growth B2B SaaS company
• Advanced proficiency with Salesforce (Administrator Certification is highly preferred) and sales engagement tools like Outreach or Salesloft
• Strong SQL skills with the ability to write complex queries to extract and manipulate data from warehouse environments like Snowflake or BigQuery
• Demonstrated experience building BI dashboards (Tableau, Looker, or Power BI) and advanced Excel modeling capabilities
• Bachelor's degree in Business, Finance, Information Systems, Mathematics, or a related quantitative field
• Bonus: Experience with HubSpot, LeanData, or dbt; familiarity with python for data analysis