Lead RevOps data modeling, ETL/DBT development on Snowflake, SQL-based analytics, and Tableau reporting. Optimize and maintain RevOps systems (Salesforce, Clari, Outreach, Gong/Chorus), ensure data quality, apply advanced analytics/AI concepts for forecasting, and partner cross-functionally to deliver actionable revenue insights.
Coupa makes margins multiply through its community-generated AI and industry-leading total spend management platform for businesses large and small. Coupa AI is informed by trillions of dollars of direct and indirect spend data across a global network of 10M+ buyers and suppliers. We empower you with the ability to predict, prescribe, and automate smarter, more profitable business decisions to improve operating margins.
Why join Coupa?
🔹 Pioneering Technology: At Coupa, we're at the forefront of innovation, leveraging the latest technology to empower our customers with greater efficiency and visibility in their spend.
🔹 Collaborative Culture: We value collaboration and teamwork, and our culture is driven by transparency, openness, and a shared commitment to excellence.
🔹 Global Impact: Join a company where your work has a global, measurable impact on our clients, the business, and each other.
Learn more on Life at Coupa blog and hear from our employees about their experiences working at Coupa.
The Impact of a Lead Revenue Operations Systems & Insights Analyst at Coupa:
We are seeking a highly technical and experienced Lead Revenue Operations Systems & Insights Analyst to 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).
The estimated pay range for this role is $104,000 - $145,333
The starting salary for the successful candidate will be based on permissible, non-discriminatory factors such as skills, experience, and geographic location.
Coupa complies with relevant laws and regulations regarding equal opportunity and offers a welcoming and inclusive work environment. Decisions related to hiring, compensation, training, or evaluating performance are made fairly, and we provide equal employment opportunities to all qualified candidates and employees.
Please be advised that inquiries or resumes from recruiters will not be accepted.
By submitting your application, you acknowledge that you have read Coupa’s Privacy Policy and understand that Coupa receives/collects your application, including your personal data, for the purposes of managing Coupa's ongoing recruitment and placement activities, including for employment purposes in the event of a successful application and for notification of future job opportunities if you did not succeed the first time. You will find more details about how your application is processed, the purposes of processing, and how long we retain your application in our Privacy Policy.
Coupa Boston, Massachusetts, USA Office
53 State Street Suite 1205, Boston, MA, United States, 02109
Similar Jobs at Coupa
Artificial Intelligence • Fintech • Information Technology • Logistics • Payments • Business Intelligence • Generative AI
Lead RevOps data modeling, ETL/DBT development, and dashboarding to ensure high-quality revenue data. Build Snowflake data marts, author complex SQL, create Tableau visualizations, apply AI/ML forecasting, and partner with Sales, Marketing, Finance, and IT to resolve data quality and reporting issues.
Top Skills:
Ai/MlChorusClariDbtGongOutreachPower BISalesforceSalesforce Revenue IntelligenceSnowflakeSQLTableau
Artificial Intelligence • Fintech • Information Technology • Logistics • Payments • Business Intelligence • Generative AI
This role involves designing scalable data ingestion systems and building a centralized data lake on Apache Iceberg. Responsibilities include improving performance and reliability, collaborating with data engineers, and providing technical leadership.
Top Skills:
Apache IcebergAWSAzureBigQueryDatabricksGCPPrestoPythonSnowflakeSQLTrino
Artificial Intelligence • Fintech • Information Technology • Logistics • Payments • Business Intelligence • Generative AI
As a Manager of Cloud Software Engineering at Coupa, you will lead AI platform DevOps, manage global teams, and oversee agile delivery while ensuring technical quality and innovation.
Top Skills:
AIAmazon SagemakerAWSCi/CdEksGenaiIamKubernetesLancedbMachine LearningS3TerraformVector Databases
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
