Senior Revenue Operations Analyst

Brex•Seattle, WA

9h•$114,808 - $143,510•Hybrid

About The Position

Brex is the AI-powered spend platform. We help companies spend with confidence with integrated corporate cards, banking, and global payments, plus intuitive software for travel and expenses. Tens of thousands of companies from startups to enterprises — including DoorDash, Flexport, and Compass — use Brex to proactively control spend, reduce costs, and increase efficiency on a global scale. Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career. The Sales team is the driving factor behind revenue for Brex and every member of our team directly affects our bottom line. We focus on generating new opportunities, acquiring new customers, and building even stronger relationships with our current customers. Our winning culture recognizes big team wins and celebrates individual accomplishments. We ensure that top performers are recognized and have built a competitive environment to motivate and unify the team. Brex is looking for an individual to join the Revenue Operations team supporting our Post-Sales organization (Client Sales, Account Management, and Customer Success). This team is responsible for driving Net Revenue Retention (NRR), expansion, and long-term customer value. In this role, you will primarily work within Revenue Operations to support Post-Sales through reporting, data analysis, process improvements, and systems updates, improving visibility and execution across key motions such as renewals, upsell and cross-sell, churn prevention, and account health management. You will contribute to core operational initiatives including performance tracking, forecasting support, incentive and quota analysis, and coverage model execution, while maintaining and improving the data models and dashboards that power the Post-Sales organization. This role works closely with cross-functional partners such as Finance, Systems, and Data, while focusing on driving execution and analytical rigor within Revenue Operations.

Requirements

2+ years of experience in revenue operations, sales operations, business operations, sales finance, or similar; preferably at a Fintech or SaaS company
Strong problem solving skills and collaborative approach to solutioning
Excellent written and verbal communication, especially with complex concepts
Analytical mindset with a high bar for data precision and accuracy
Self-motivated and able to run with projects autonomously with minimal oversight
Advanced spreadsheet and modeling skills
Moderate SQL skills with experience in data visualization tools (Looker or Hex experience a plus)
High familiarity with CRM data models (Salesforce preferred)
Experience leveraging AI tools to improve analysis, reporting, or operational efficiency
Strong attention to detail including in documentation

Nice To Haves

Experience with sales compensation design and tracking
Knowledge of revenue recognition principles and finance systems
Familiarity with Net Revenue Retention (NRR), churn analysis, and expansion metrics
Experience working with product or usage data (e.g., product analytics or customer health scoring)

Responsibilities

Create and maintain dashboards that provide Post-Sales leaders and operations partners with clear visibility into business performance
Proactively identify opportunities to improve reporting and deliver deeper analytical insights on retention, expansion, and account health
Conduct deep-dive analyses to surface trends, risks, and growth opportunities across the Post-Sales business
Support the design and implementation of operational improvements in partnership with Revenue Operations team members and cross-functional stakeholders
Evaluate tool usage and effectiveness to optimize our Post-Sales tech stack
Build and maintain capacity and funnel models to support planning and scenario analysis
Support ad hoc data requests, including account deep dives and compensation tracking

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