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