Senior Revenue Intelligence Analyst

Degreed

. Own the GTM data strategy across sales, marketing, solutions, services, and account directors .

Posted 11/4/2026full-timeRemote • United StatesSenior💰 $130,000 - $170,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in GTM data strategy, including building dashboards, validating commercial data, and translating business requests into technical requirements. Proficient in SQL and BI tools for data analysis and reporting, with a strong focus on revenue metrics and forecasting.

Highest-signal resume keywords

SQL ProficiencyDashboard Development in BI ToolsRevenue Recognition PrinciplesData Validation and Quality AssuranceAI-Ready Data Architecture

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLData AnalysisForecastingRevenue Metrics CalculationData ValidationReporting AutomationPipeline TrackingData ArchitectureBusiness IntelligenceData Quality Assessment

Soft Skills

Presentation SkillsLeadershipCommunicationCollaborationAnalytical Thinking

Tools & Technologies

SalesforceHexClaudeBI ToolsData Warehouse

Industry Keywords

GTM StrategyMarketing ROIChurn DataARRACVCPQ LogicExecutive ReportingBusiness ReviewsTop-of-Funnel MarketingRenewal Details

Tech Stack

Tools & technologies

SQL

About the role

Key responsibilities & impact

Own the GTM data strategy across sales, marketing, solutions, services, and account directors
Build dashboards, forecasts, and analysis tracking pipeline from top-of-funnel marketing through closed revenue
Tie pipeline performance back to marketing metrics
Own executive- and board-level reporting for quarterly business reviews
Validate figures before executive and board distribution
Build function-specific reporting and forecasts for marketing, sales, and services
Refine forecasting assumptions as results become available
Measure marketing ROI and identify early signals in retention, renewal, and churn data
Partner with engineering to maintain clean and validated warehouse views
Define standards for data feeding revenue reporting
Turn analysis into plain-language recommendations for leadership
Validate commercial data affecting sales and finance, including ARR, net new ACV, prorated terms, FX adjustments, quote-to-order form alignment, and renewal details
Build AI-ready documentation, context, and data architecture
Build agents used by other team members

Requirements

What you’ll need

Read and write SQL
Build dashboards in BI tools such as Hex or Salesforce reporting
Trace pipeline from top-of-funnel marketing through closed revenue
Present analysis to senior leaders and defend numerical findings
Independently lead conversations with sales, marketing, and finance leaders
Validate ARR, net new ACV, prorated terms, FX adjustments, and quote-to-order form alignment
Assess and validate warehouse views and work with engineering to correct data quality issues
Select appropriate tools among Claude, Salesforce, and Hex
Leverage AI tools and technologies, including Claude, for analysis, documentation, and reporting automation
Ability to translate business requests into technical requirements
Calculate and explain gross and net revenue retention
Working knowledge of revenue recognition principles and CPQ logic
Build AI-ready data architecture and agents

Benefits

Comp & perks

Comprehensive benefits package designed to support well-being, growth, and success
Flexible work arrangements
Virtual collaboration using tools like Zoom and Slack for remote and hybrid roles
Reasonable accommodations for applicants with disabilities
Equal opportunity employment
Fair hiring practices, including consideration of qualified applicants with arrest and conviction records
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