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Senior Revenue Intelligence Analyst | US

12 hours, 50 minutes ago
United States
Full-time
Senior
Sales Operations
Business Intelligence
Salesforce SQL
Apply Now
Degreed

Degreed

Degreed provides a comprehensive upskilling platform that facilitates targeted skill development and lifelong learning by connecting users with educational resources and opportunities, while also offering real-time data to enhance workforce capabilitie...

IT Services
51-200
Founded 2012
$463M raised
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Description

  • Own a unified GTM data strategy across pre-sales and post-sales teams.
  • Build dashboards, forecasts, and analyses that connect marketing pipeline to closed revenue and financial metrics.
  • Own and validate executive and board reporting for quarterly business reviews.
  • Develop function-specific reporting for marketing, sales, and services, refining forecast assumptions based on results.
  • Identify early risk signals for new ARR, retention, and churn.
  • Prioritize stakeholder requests for reporting and dashboards, including requests from finance.
  • Build datasets and warehouse views to meet business needs, partnering with engineering to maintain data quality.
  • Translate analyses into clear recommendations for leadership.
  • Validate commercial data, including ARR, net new ACV, prorated terms, FX adjustments, quote-to-order alignment, and renewal details.
  • Develop AI-ready documentation, context, data architecture, and agents to automate recurring RevOps work.

Requirements

  • Ability to read and write SQL and build BI dashboards for sales, marketing, and leadership users.
  • Experience with revenue analytics, including tracing pipeline from top-of-funnel marketing through closed revenue.
  • Strong executive communication skills and ability to defend analysis with senior leaders.
  • Ability to independently manage conversations with sales, marketing, and finance stakeholders.
  • Experience validating commercial data, including ARR, ACV, terms, FX adjustments, quotes, order forms, and renewals.
  • Ability to assess warehouse data quality and partner with engineering to resolve data issues.
  • Experience translating business needs into technical requirements for operations, systems, and engineering teams.
  • Working knowledge of revenue recognition, GRR/NRR, forecasting, and CPQ logic.
  • Ability to evaluate and select reporting tools such as Claude, Salesforce, and Hex.
  • Experience using AI tools such as Claude, Gemini, or Copilot to accelerate QA, documentation, and workflow automation.

Benefits

  • Total compensation range of $130,000–$150,000, based on factors including experience, skills, certifications, location, and internal equity.
  • Comprehensive benefits package supporting well-being, growth, and success.
  • Flexible work arrangements, with remote or hybrid options depending on role location and requirements.
  • Inclusive workplace with reasonable accommodations available throughout the hiring process.

Interested in this position?

Apply directly on the company website

Apply Now

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