<p><strong>Who we are </strong></p> <p><strong>About Stripe</strong></p> <p>Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.</p> <p><strong>About the team</strong></p> <p>Stripe's Finance & Strategy team is hiring a Finance Analytics Analyst. This role requires a finance professional with strong FP&A capabilities, technical data skills (SQL, BI tools), and demonstrated AI adaptability. The individual will own financial planning, variance analysis, and P&L reporting for assigned business areas while using data and technology to deliver high-quality financial insights. This role reports into the Finance & Strategy Center of Excellence.</p> <p><strong>Responsibilities</strong></p> <p><strong>Financial Planning & Analysis</strong></p> <ul> <li>Own P&L reporting and analysis for assigned product lines, business units, or functional cost centers</li> <li>Lead monthly and quarterly planning, forecasting, and close processes</li> <li>Perform variance analysis (actuals vs. budget, actuals vs. forecast, period-over-period) with clear identification of root causes and business drivers</li> <li>Track and reconcile accruals vs. actuals; ensure accuracy and completeness in financial reporting</li> <li>Support annual budgeting, long-range planning, and scenario modeling</li> <li>Build and maintain financial models for business case analysis, investment decisions, and resource allocation</li> <li>Partner with business teams to provide financial perspective on operational and strategic decisions</li> </ul> <p><strong>Data Analytics & Reporting</strong></p> <ul> <li>Write SQL queries to extract, validate, and analyze data from financial systems and data warehouses</li> <li>Build and maintain financial dashboards and reports using Power BI, Tableau, or equivalent BI tools</li> <li>Develop data models that integrate financial and operational data for planning, forecasting, and performance reporting</li> <li>Automate and standardize recurring reports to reduce manual effort and improve consistency</li> <li>Navigate complex, high-volume data environments (trillions of transactions across products and geographies) to extract relevant financial signals</li> <li>Ensure data accuracy and consistency across all financial outputs</li> </ul> <p><strong>AI-Augmented Working</strong></p> <ul> <li>Use AI tools (Claude, Cursor, Claude Code, and similar platforms) as part of workflow for analysis, coding, report building, dashboard prototyping, and problem-solving</li> <li>Apply an AI-first approach to new tasks, evaluate where AI can accelerate delivery before defaulting to manual methods</li> <li>Contribute to team-wide AI adoption by sharing effective workflows, prompts, and use cases</li> </ul> <p><strong>Business Insights & Communication</strong></p> <ul> <li>Prepare executive-level reports on financial performance, trends, and key metrics with clear conclusions and recommendations</li> <li>Conduct ad-hoc analysis to support strategic initiatives and leadership decision-making</li> <li>Translate data and financial analysis into actionable business recommendations for finance and non-finance stakeholders</li> <li>Track and interpret key financial and operational metrics including revenue, processing volume, take rate, costs, margins, and unit economics</li> </ul> <p><strong>Requirements</strong></p> <p><strong>Financial & Business Skills</strong></p> <ul> <li>5–7+ years of experience in FP&A, financial analysis, strategic finance, or corporate finance roles</li> <li>Strong understanding of financial statements (P&L, balance sheet, cash flow) and the ability to connect them into a complete financial picture</li> <li>Demonstrated experience in budgeting, forecasting, variance analysis, and financial planning cycles</li> <li>Working knowledge of accrual accounting, revenue recognition, cost allocation, and reconciliation processes</li> <li>Fluency in financial metrics: revenue, gross margin, EBITDA, operating leverage, unit economics</li> </ul> <p><strong>Technical & Data Skills</strong></p> <ul> <li>Must Have: Strong SQL skills for data extraction, transformation, and analysis from relational databases and data warehouses</li> <li>Must Have: Proficiency in Power BI, Tableau, or equivalent BI tools for dashboard development and reporting</li> <li>Must Have: Advanced Excel / Google Sheets — financial modeling, scenario analysis, pivot tables, complex formulas</li> <li>Preferred: Python or R for data analysis, automation, or analytical workflows</li> <li>Ability to work with large, complex datasets across multiple data sources</li> </ul> <p><strong>AI Adaptability</strong></p> <ul> <li>Must Have: Active, demonstrable use of AI tools in current work — candidates should be able to provide specific examples of how AI has improved their workflow, output quality, or speed</li> <li>Willingness and ability to continuously adopt new AI tools and methods as they become available</li> <li>Comfort using AI for coding assistance, data exploration, dashboard prototyping, and analytical problem-solving</li> </ul> <p><strong>Mindset & Working Approach</strong></p> <ul> <li>Ownership: Treats assigned areas as personal accountability — does not wait for direction to investigate issues, identify risks, or surface insights</li> <li>Depth and curiosity: Goes beyond surface-level analysis to understand business context, root causes, and second-order implications</li> <li>Quality and accuracy: Holds a high personal standard for the correctness, completeness, and trustworthiness of all outputs</li> <li>Business context orientation: Understands the business model and connects financial data to what is actually happening operationally and strategically</li> <li>Clear communication: Presents financial and analytical findings to diverse audiences (finance, product, engineering, leadership) with clarity and precision</li> <li>Speed with rigor: Operates effectively in a fast-paced environment without compromising accuracy</li> </ul> <p><strong>Preferred Experience</strong></p> <ul> <li>Background in technology, payments, fintech, SaaS, or high-growth platform businesses</li> <li>Experience with ERP systems (NetSuite, SAP, Oracle) or planning tools (Anaplan, Adaptive Insights, Pigment)</li> <li>Exposure to data warehousing concepts and cloud data platforms (Snowflake, BigQuery, Redshift)</li> <li>Experience in cross-functional environments working directly with product, engineering, and go-to-market teams</li> <li>Experience with high transaction volume environments where data complexity is inherent</li> </ul> <p> </p>