Senior RevOps Analyst at Degreed – SQL, AI & ARR Skills

Degreed; United States; Remote; USD 130,000 - 150,000; Full time

Job summary

Degreed is hiring a Senior Revenue Intelligence Analyst to own a unified GTM data strategy. You will build dashboards and forecasts across pre- and post-sales, delivering insights to leadership and aligning data with pipeline, revenue, and retention goals.

You will work with Hex, Salesforce, and SQL-based warehouses, partnering with product and engineering to maintain data quality and enable AI-driven decision making in a fast-growing, remote-friendly environment.

Qualifications

• Read and write SQL; build BI dashboards used by Sales, Marketing, and Leadership.
• Trace pipeline from marketing to revenue and explain the numbers.
• Present analysis to senior leaders and justify recommendations.
• Run conversations with cross-functional leaders independently.
• Validate ARR, ACV, prorated terms, FX adjustments, and quote-to-order alignment.
• Assess warehouse data quality and coordinate fixes with engineering.
• Select reports/dashboards for Claude, Salesforce, or Hex with rationale.
• Translate business needs into technical requirements for teams.

Responsibilities

• Own GTM data strategy across pre- and post-sales motions.
• Build dashboards, forecasts, and analyses tying pipeline to revenue.
• Own executive and board-level reporting for QBRs and leadership updates.
• Develop forecasts and reporting for marketing, sales, and services with evolving assumptions.
• Improve signals for new ARR, retention, and churn risk.
• Manage dashboard requests from finance and other stakeholders.
• Create new data views; partner with engineering to keep warehouse clean.
• Turn analysis into plain-language leadership recommendations.
• Validate data affecting sales and finance reporting and forecasting.

Skills

SQL & BI dashboards

Revenue analytics

Executive communication

Stakeholder ownership

Data validation

Data quality

Tool selection

Requirements translation

Financial fluency

AI tools usage

Tools

Hex

Salesforce

Job description

Compensation vs. Market:

The $130,000–$150,000 range is competitive for a Senior Revenue/BI Analyst in the US. Industry benchmarks (Levels.fyi, Glassdoor) place Senior RevOps/Revenue Intelligence roles at SaaS companies at $120,000–$160,000 total cash, so this sits solidly in the mid-to-upper range for the title — though it may trail top-tier tech firms in total comp if equity is limited.

Skills You'll Build:

This role is a strong accelerator for in-demand capabilities:

• AI-augmented analytics — hands-on with Claude, Gemini, and CoPilot in a production GTM context, a genuinely differentiating skill in 2025.
• Hex BI platform — growing adoption among modern data teams.
• End-to-end revenue data ownership — ARR, NRR, GRR, CPQ, and churn modeling are highly transferable across SaaS companies.
• Executive-level communication — board and QBR reporting builds a rare, senior-facing portfolio.

Culture & Growth Signals:

Being named to Fast Company's Most Innovative Companies list signals a growth-stage company with momentum. The reporting line directly to the Head of RevOps with board-level exposure is a green flag for career visibility. The team is described as collaborative and AI-forward, suggesting a modern, low-bureaucracy environment.

Watch For:

As an individual contributor with broad ownership (GTM data strategy, executive reporting, data engineering liaison), there is a risk of scope creep. Candidates should clarify team size and engineering support capacity during interviews. Overall, this is a strong role for a data professional looking to move into a strategic RevOps leadership track.

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.

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), 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.
• AI tools: 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.

We take care of our people with a comprehensive benefits package designed to support your well-being, growth, and success.

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.

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.

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 retain 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:

By submitting your application, you acknowledge and agree to our use and processing of your data in compliance with applicable laws.

Is this role fully remote or does it require going into an office? Degreed offers flexible work arrangements, and this role is eligible for fully remote work. Collaboration is done virtually via Zoom and Slack. What is the salary range for the Senior Revenue Intelligence Analyst position? The total pay range is $130,000–$150,000 annually. Actual compensation depends on factors such as skill set, depth of experience, certifications, and work location. What BI and data tools will I work with in this role? You will primarily use Hex (a newly implemented BI tool), Salesforce, SQL-based data warehouses, and AI tools such as Claude, Gemini, and CoPilot for analytics and automation. Who does this role report to and what is the team structure? This is an individual contributor role reporting to the Head of Revenue Operations, within the global revenue operations team. It offers regular visibility with senior leadership. Is this position open to candidates outside the United States? Based on the job description — which references E-Verify participation and the San Francisco Fair Chance Ordinance — this role appears to be restricted to US-based candidates.

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