Note: The job is a remote job and is open to candidates in USA. Coupa is a company that empowers businesses through its community-generated AI and total spend management platform. The Lead Revenue Operations Systems & Insights Analyst will transform raw revenue data into actionable insights, ensuring RevOps systems are optimized for data quality and reporting.
Responsibilities
- Design, build, and maintain robust data structures (data marts and star schemas) specifically for RevOps metrics and performance reporting
- Serve as the data expert lead for critical RevOps systems including Salesforce, Clari, Outreach, Gong and Chorus, ensuring data extraction is clean, accurate, and optimized for analysis
- Develop, optimize, and maintain complex SQL queries and data logic using DBT on Snowflake to support RevOps reporting
- Design, create and manage advanced Tableau dashboards and reports to visualize key revenue performance indicators and support strategic decision-making
- Apply advanced analytical techniques, including AI/ML concepts, to enhance forecasting, segmentation, and process optimization within the revenue funnel
- Collaborate closely with Sales, Marketing, Finance, and IT to translate business requirements into technical data solutions
- Ensure the integrity, reliability, and accuracy of revenue data across all integrated RevOps platforms
- Document data flows, business logic, and maintain high standards through peer review of data transformation code
- Troubleshoot data discrepancies and resolve systemic data quality issues within RevOps systems
Skills
- Minimum of 8 years of professional experience, with significant time spent in a Revenue Operations, Sales Operations, or Business Intelligence role within a SaaS company
- Deep expertise and working knowledge of key RevOps platforms and their data models, including Salesforce (required), Revenue Intelligence, Clari, Outreach, Gong and/or Chorus
- Expertise in RevOps data tools, including DBT, Snowflake, and advanced SQL
- Strong background in structuring and organizing RevOps data (e.g., star schemas, data marts) for business metrics and KPIs
- Demonstrated proficiency in creating high-impact visualizations and reports using Tableau
- Proven ability to translate complex revenue strategies and business processes into scalable, reliable data solutions
- Excellent communication skills, with a proven ability to partner effectively with both technical (Data Engineering/IT) and non-technical (Sales/Marketing) stakeholders
- Bachelor's degree in a quantitative field (e.g., Finance, Economics, Business Analytics, or Computer Science)
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