Pay
$94.8K–$145K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,890 postings in the last year. Stated ranges, not salaries paid.
Senior Revenue Intelligence Analyst | US
US Based | Remote
Actively hiring, first seen by us 2 days ago- Pay
Pay amount needs review — pay source
We are committed to fair and equitable compensation practices. The total pay range for this role is $130.000 - $150.000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to: skill set, depth of experience, certifications, specific work location, and internal equity. Benefits
Read the full posting- Work setting
Remote — work setting source
Listed location: US Based | Remote
Read the full posting- Employment
- Not stated
What you’ll work on
Full postingDegreed is hiring a Senior Revenue Intelligence Analyst to own and drive a unified GTM data strategy supporting pre-sales, post-sales, and leadership with analytics and insights to run the business.
In this role, you’ll drive revenue intelligence and insights with an AI-forward approach, enhancing business outcomes like retention and new ARR and improving our measurement of marketing ROI, forecasting accuracy, and predictive churn signals.
Own the GTM data strategy across pre-sales and post-sales so teams share one set of numbers
Build business dashboards and forecasts tracing pipeline from marketing through closed revenue
Own executive and board-level reporting for quarterly business reviews
Validate ARR, renewals, and quote-to-order form data before it reaches finance
Surface early risk signals in new ARR, retention, and churn
From the employer’s posting
Degreed is hiring a Senior Revenue Intelligence Analyst to own and drive a unified GTM data strategy supporting pre-sales, post-sales, and leadership with analytics and insights to run the business. This is an individual contributor role inside the global revenue operations team, reporting to the head of RevOps. It comes with regular visibility with senior leaders and the opportunity to make a meaningful impact for cross-functional teams.
In this role, you’ll drive revenue intelligence and insights with an AI-forward approach, enhancing business outcomes like retention and new ARR and improving our measurement of marketing ROI, forecasting accuracy, and predictive churn signals. You’ll own and build the dashboards and reporting behind important GTM decisions using our newly implemented BI tool (Hex), and tying data and performance back to pipeline, revenue, and retention. You’ll work with product and engineering to keep warehouse data clean and help validate the commercial data underneath it all, including ARR, quotes, order forms, and renewals.
Own the GTM data strategy across pre-sales and post-sales motions, so every team works from the same definitions and the same numbers.
Build the business-level dashboards, forecasts, and analyses that track pipeline from top-of-funnel marketing through closed revenue
Own executive and board-level reporting for quarterly business reviews, and validate every figure before it goes out.
Validate commercial data that affects sales and finance reporting and forecasting, including ARR, net new ACV, prorated terms, FX adjustments, quote-to-order form alignment
Improve our ability to surface early risk signals in new ARR, retention and churn.
- People management
Individual contributor stated — people management source
About the Role Degreed is hiring a Senior Revenue Intelligence Analyst to own and drive a unified GTM data strategy supporting pre-sales, post-sales, and leadership with analytics and insights to run the business. This is an individual contributor role inside the global revenue operations team, reporting to the head of RevOps. It comes with regular visibility with senior leaders and the opportunity to make a meaningful impact for cross-functional teams. In this role, you’ll drive revenue intelligence and insights with an AI-forward approach, enhancing business outcomes like retention and new ARR and improving our measurement of marketing ROI, forecasting accuracy, and predictive churn signals. You’ll own and build the dashboards and reporting behind important GTM decisions using our newly implemented BI tool (Hex), and tying data and performance back to pipeline, revenue, and retention. You’ll work with product and engineering to keep warehouse data clean and help validate the commercial data underneath it all, including ARR, quotes, order forms, and renewals.
Read the full posting
Posting record
Report an errorActively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 6, 20262 days ago
- Recorded sightings
- 2
- Last seen by us
- Nov 7, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 2
Early. Similar jobs usually come down between day 5 and day 41.
From 11,597 similar postings that came down. Coming down is not always a hire.
Degreed is hiring
1 open job
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- SQL
Where the posting names them
Key Skills - SQL and BI dashboarding: read and write SQL, and build BI dashboards that sales, marketing, and leadership use in regular decisions. - Revenue analytics: trace pipeline from top-of-funnel marketing through closed revenue, find where it falls out of the funnel, and explain what the numbers do and don’t show.
Your next step
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Demand for Analyst roles
New Analyst postings at the employers we follow are up 19% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
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About the role
We file this job under Analyst, by the work the posting describes.
Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.
Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.
Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.
Job description
Degreed is the leading enterprise learning system for workforce transformation, bringing together everything people need to learn and advance: courses, videos, articles, projects, and real-world skill insights, matched to individual roles, skills, and goals.
For businesses, Degreed builds the infrastructure for a culture of learning that attracts, develops, and retains top talent, driving performance at scale. Named to Fast Company's World's Most Innovative Companies of 2026 — alongside Google, Nvidia, and Adidas — Degreed is recognized for its AI-driven approach to closing the human readiness gap and turning learning ambition into measurable impact.
We believe learning is the key to unlocking opportunity, and our mission is to discover, empower, and celebrate the next generation of global expertise. Join us in shaping the future of learning and workforce development!
About the Role
Degreed is hiring a Senior Revenue Intelligence Analyst to own and drive a unified GTM data strategy supporting pre-sales, post-sales, and leadership with analytics and insights to run the business. This is an individual contributor role inside the global revenue operations team, reporting to the head of RevOps. It comes with regular visibility with senior leaders and the opportunity to make a meaningful impact for cross-functional teams.
In this role, you’ll drive revenue intelligence and insights with an AI-forward approach, enhancing business outcomes like retention and new ARR and improving our measurement of marketing ROI, forecasting accuracy, and predictive churn signals. You’ll own and build the dashboards and reporting behind important GTM decisions using our newly implemented BI tool (Hex), and tying data and performance back to pipeline, revenue, and retention. You’ll work with product and engineering to keep warehouse data clean and help validate the commercial data underneath it all, including ARR, quotes, order forms, and renewals.
Revenue Operations is a highly collaborative, positive team - we value new points of view, share our expertise, ask for help when we need it, and support each other to get the job done. Degreed is also changing how this function works with AI, from documentation to agents, and you’ll play an impactful role in how revenue operations continue to evolve with AI.
Key Skills
- SQL and BI dashboarding: read and write SQL, and build BI dashboards that sales, marketing, and leadership use in regular decisions.
- Revenue analytics: trace pipeline from top-of-funnel marketing through closed revenue, find where it falls out of the funnel, and explain what the numbers do and don’t show.
- Executive communication: present analysis to senior leaders, and explain the numbers when they’re challenged.
- Stakeholder ownership: run conversations with sales, marketing, and finance leaders on your own, without needing direction at each step.
- Commercial data validation: check ARR, net new ACV, prorated terms, FX adjustments, and quote-to-order form alignment, and flag errors before they reach finance.
- Data quality: judge whether warehouse views are clean and validated, and work with engineering to fix them when they aren’t.
- Tool selection: decide when a report or dashboard belongs in Claude, Salesforce, or Hex, and explain the tradeoff.
- Requirements translation: turn a business need into technical requirements that field operations, system architects, and engineers can build from.
- Financial fluency: leverage strong working knowledge of revenue recognition principles, gross/net revenue retention (GRR/NRR), forecasting, and CPQ logic.
- Ability to leverage AI tools and technologies: use AI (e.g. Claude, Gemini, CoPilot) as a partner in your daily work to accelerate QA, contribute to AI-ready documentation, expand our GTM context layer, and automate recurring work.
Key Responsibilities
- Own the GTM data strategy across pre-sales and post-sales motions, so every team works from the same definitions and the same numbers.
- Build the business-level dashboards, forecasts, and analyses that track pipeline from top-of-funnel marketing through closed revenue, and tie numbers back to top line financial metrics.
- Own executive and board-level reporting for quarterly business reviews, and validate every figure before it goes out.
- Build forecasts and function-specific reporting for marketing, sales, and services, and refine the assumptions behind them as results come in.
- Improve our ability to surface early risk signals in new ARR, retention and churn.
- Manage and prioritize reporting and dashboard requests from stakeholders inside or outside revenue (e.g. finance)
- Build new views and datasets to meet business requirements. Partner with engineering to keep warehouse views clean and engage their resources when more complex support is needed.
- Turn analysis into plain-language recommendations for leadership.
- Validate commercial data that affects sales and finance reporting and forecasting, 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 that other people use.
Compensation
We are committed to fair and equitable compensation practices.
The total pay range for this role is $130.000 - $150.000.
Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to: skill set, depth of experience, certifications, specific work location, and internal equity.
Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to: skill set, depth of experience, certifications, specific work location, and internal equity.
Benefits
We take care of our people with a comprehensive benefits package designed to support your well-being, growth, and success.
At Degreed, We Value
🔷 Diversity & Inclusion – We celebrate diverse perspectives and backgrounds, fostering an inclusive environment where everyone can thrive and contribute.
🔷 Growth Mindset – Learning is at the heart of what we do. We empower our employees to continuously develop their skills and grow their careers in alignment with their unique strengths and aspirations.
🔷 Collaboration – The best ideas come from working together. We cultivate a culture of open communication, teamwork, and shared success.
By joining Degreed, you’ll be part of a community that values learning, collaboration, and meaningful impact. If you’re passionate about driving change through upskilling and workforce transformation, we encourage you to apply and contribute to our mission.
Work Environment & Physical Demands
Degreed offers flexible work arrangements tailored to each role. Some positions are fully remote, while others follow a hybrid model for employees near an office. Please check the job details for role-specific requirements.
For remote and hybrid roles, you’ll collaborate virtually using tools like Zoom and Slack. This role may require prolonged computer use and stationary work, with the ability to interpret written and verbal communication effectively.
We are committed to creating an inclusive and adaptable work environment that enables every team member to thrive and do their best work.
Additional Information
Degreed is an equal opportunity employer committed to fostering a workplace free from discrimination and harassment. We do not discriminate based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all aspects of employment, including recruitment, hiring, career development, compensation, and training.
🔷 Accessibility & Accommodations – We are dedicated to full inclusion and will provide reasonable accommodations for applicants with disabilities throughout the hiring process. If you need assistance, please let us know.
🔷 Fair Hiring Practices – In compliance with the San Francisco Fair Chance Ordinance, we consider qualified applicants with arrest and conviction records.
🔷 E-Verify Participation – Degreed participates in the E-Verify employment verification program.
Global Data Privacy Notice for Applicants
When you apply, Degreed, Inc. collects and processes the personal data in your application (such as your CV, contact details, and answers to our questions) to evaluate your candidacy. We will keep your application data for 60 days after the recruitment process for this role is completed. After this period, your data will be deleted, unless we are required by law to keep it. For details on how we use and share your data and on your rights, please review our Global Data Privacy Notice and related policies:
• Global Privacy Notice
• DPR Compliance Details
By submitting your application, you acknowledge and agree to our use and processing of your data in compliance with applicable laws.
Fraudulent Recruitment Warning
Beware of fraudulent recruitment scams using the Degreed name. Scammers may impersonate our company, website, or hiring team. Degreed will never:
🚫 Conduct recruitment via WhatsApp, Telegram, or direct-messaging platforms.
🚫 Request sensitive personal or financial information in unsolicited communications.
🚫 Offer jobs requiring upfront payments or promising unrealistic returns.
🔵 Official Degreed communications will always come from a @degreed.com email address or phone number during the hiring process.
If you encounter suspicious activity, please report it immediately. Stay vigilant and protect yourself from fraud.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
We are committed to fair and equitable compensation practices. The total pay range for this role is $130.000 - $150.000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to: skill set, depth of experience, certifications, specific work location, and internal equity. Benefits
- Location & working pattern
US Based | Remote
Work Environment & Physical Demands Degreed offers flexible work arrangements tailored to each role. Some positions are fully remote, while others follow a hybrid model for employees near an office. Please check the job details for role-specific requirements. For remote and hybrid roles, you’ll collaborate virtually using tools like Zoom and Slack. This role may require prolonged computer use and stationary work, with the ability to interpret written and verbal communication effectively. We are committed to creating an inclusive and adaptable work environment that enables every team member to thrive and do their best work. Additional Information
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.