Senior Revenue Intelligence Analyst | US

Degreed

18h•$130,000 - $170,000

About The Position

Degreed is hiring a Senior Revenue Intelligence Analyst as an individual contributor on its global revenue operations team. Reporting to the Head of RevOps, this role owns and drives a unified go-to-market data strategy, providing analytics and insights for pre-sales, post-sales, and leadership. The work supports sales, marketing, solutions, services, account directors, and executive and board reporting. The analyst owns dashboards, forecasts, and reporting used to run the business; works in SQL and business intelligence tools; and connects pipeline performance to marketing results. The role partners with product and engineering to maintain clean, validated warehouse data and checks commercial information such as ARR, quotes, order forms, and renewals. It also helps shape the function’s use of AI through documentation, data architecture, and agents. The role requires communicating analysis and recommendations to senior leaders, independently managing cross-functional conversations, and validating figures and commercial data before they reach leadership or finance. Degreed describes flexible work arrangements generally, but the posting does not specify whether this particular role is remote, hybrid, or onsite. The stated total pay range is $130,000–$170,000; actual compensation depends on factors including skills, experience, certifications, work location, and internal equity.

Requirements

Read and write SQL and build dashboards in BI tools such as Hex or Salesforce reporting.
Trace pipeline from top-of-funnel marketing through closed revenue, identify funnel drop-off, and explain what the data does and does not show.
Present analysis to senior leaders and confidently support the underlying numbers when challenged.
Independently manage conversations with sales, marketing, and finance leaders.
Validate ARR, net new ACV, prorated terms, FX adjustments, quote-to-order-form alignment, and renewal data.
Assess whether warehouse views are clean and validated, and work with engineering to address data-quality issues.
Select an appropriate reporting or dashboard tool, such as Claude, Salesforce, or Hex, and explain the tradeoffs.
Use AI tools and technologies, including Claude, to build and check analysis, write AI-ready documentation, and automate recurring reporting work.

Nice To Haves

Translate business requests into technical requirements that system architects and engineers can implement.
Calculate and explain gross and net revenue retention, with working knowledge of revenue recognition principles and CPQ logic.
Build AI-ready data architecture and agents for other people to use.

Responsibilities

Own the GTM data strategy across sales, marketing, solutions, services, and account directors, aligning teams on shared definitions and numbers.
Build dashboards, forecasts, and analysis that track pipeline from top-of-funnel marketing through closed revenue and connect pipeline to marketing metrics.
Own executive- and board-level reporting for quarterly business reviews, validating figures before distribution.
Build and refine forecasts and function-specific reporting for marketing, sales, and services as results come in.
Measure marketing ROI and identify early signals in retention, renewal, and churn data.
Partner with engineering to keep warehouse views clean and validated, and establish standards for data used in revenue reporting.
Translate analysis into clear, 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 such as subscriptions, renewal values, and off-cycle changes.
Build AI-ready documentation, context, and data architecture for the team, and build agents for others to use.
Present analysis to senior leaders and independently lead conversations with sales, marketing, and finance stakeholders.