The Impact of a Lead Revenue Operations Systems & Insights Analystat Coupa:
We are seeking a highly technical and experienced Lead Revenue Operations Systems & Insights Analystto join our Revenue Operations team. This role is critical for transforming raw revenue data into actionable insights, leveraging expertise in RevOps data structures (Snowflake, DBT, SQL), AI-driven analytics, and reporting (Tableau). The ideal candidate must have significant experience within a SaaS environment and deep knowledge of RevOps processes and systems. You will bridge the gap between business strategy and data infrastructure, ensuring our RevOps systems-such as Salesforce, Clari, Outreach, Gong and Chorus -are optimized for data quality, reporting, and predictive modeling in Snowflake, DBT and Tableau.
What You'll Do:
- 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.
What You Will Bring to Coupa:
- 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).P
- Experience applying AI/ML concepts or predictive analytics to revenue forecasting or pipeline optimization.
- Experience with BI tools (e.g., Power BI, Tableau, Salesforce Rev Intelligence).
- Experience governing data quality and implementing business rule changes across RevOps system integrations.
- Understanding of agile methodologies.

