Senior Revenue Intelligence Analyst | US

Role overview Lead revenue intelligence for a cross-functional go-to-market organization, providing the shared data, forecasts, and analysis that teams and executives use to make commercial decisions. This individual contributor role combines hands-on SQL and BI work with ownership of reporting standards, commercial data checks, and conversations with senior stakeholders.

Responsibilities - Set consistent go-to-market data definitions across sales, marketing, solutions, services, and account teams. - Build dashboards, forecasts, and analysis that connect marketing activity and pipeline to closed revenue; identify where opportunities progress or drop out. - Prepare and validate executive and board-level reporting, including quarterly business reviews and function-specific forecasts. - Assess marketing return and look for early patterns in retention, renewals, and churn; turn findings into clear recommendations. - Validate commercial records, including recurring revenue, new contract value, prorated terms, currency adjustments, quote-to-order alignment, and renewal changes. - Work with engineering to improve warehouse data quality, and develop AI-ready documentation, reporting workflows, and reusable agents.

Requirements - Strong SQL skills and experience building BI dashboards used by sales, marketing, or leadership in recurring decisions. - Experience analyzing revenue pipelines from marketing through closed business, with the ability to explain both what metrics show and their limitations. - Confidence presenting findings to senior leaders and defending the underlying figures when questioned. - Ability to independently lead discussions with sales, marketing, and finance stakeholders. - Skill validating commercial data such as recurring revenue, contract values, currency and term adjustments, and order documentation. - Judgment to assess warehouse data quality, work with engineers to correct problems, and select appropriate reporting tools. - Experience using AI tools to develop or check analysis, document data for AI use, or automate recurring reports.

Nice to have - Translating business requests into technical requirements for system and engineering teams. - Familiarity with SaaS retention measures, revenue recognition, or quote and pricing workflows. - Experience designing AI-ready data structures or building agents for others to use.

Benefits and work setup The role is listed for the United States, with flexible arrangements that may be remote or hybrid depending on role-specific requirements.