As a Senior Revenue Operations Analyst, you will have 2+ years of experience in revenue operations, sales operations, business operations, sales finance, or similar, preferably at a fintech or SaaS company. You will be a strong problem solver with excellent written and verbal communication skills, and a high bar for data precision and accuracy. You will also have advanced spreadsheet and modeling skills, moderate SQL skills, and experience with data visualization tools.

We offer a competitive salary range of $114,808 to $143,510, depending on factors including location, skills, experience, market demand, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be included as part of the total compensation package.

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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

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

Bonus Points: 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)

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As a trusted advisor to senior sales leadership, you will use financial insights to shape investments, improve forecasting accuracy, and optimize how we build our GTM. Your work will support Stripe's ambitious global expansion and help accelerate growth in our enterprise customer base.

Responsibilities:

• Lead strategic finance support for the Product Sales and Alliances and Channels organization and manage a team, driving insight into user-level performance, sales performance, pipeline conversion, quota attainment, and strategic account planning - contributing to recurring business performance reporting cadences.
• Own forecasting, planning / target setting, and budgeting processes for Product Sales and Alliances and Channels; provide actionable insights that support investment decisions and sales efficiency.
• Collaborate with Sales, Sales Operations & Strategy, and Marketing to assess productivity metrics of investments in Renewals, Customer Success and Solutions architects.
• Build dynamic financial and operating models and playbooks to evaluate new sales strategies to improve product attach and cross sell for Renewals and New Sales motions; and improve win rates and average deal sizes through Solutions architects attach on deals.
• Refine, scale, and where necessary implement robust reporting and dashboards that track KPIs including our productivity metrics and key investment drivers.
• Identify and drive opportunities for process automation and data streamlining to improve reporting accuracy and decision velocity.
• Serve as a key contributor to quarterly business reviews and long-range planning exercises, providing strategic recommendations and scenario analyses.
• Translate complex financial and sales data into clear narratives for executive audiences.

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