Finance & Strategy - Finance Analytics Analyst

Stripe
BengaluruPosted 20 March 2026

Job Description

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 FPA capabilities, technical data skills (SQL, BI tools), and demonstrated AI adaptability. The individual will own financial planning, variance analysis, and PL 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 PL 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 FPA, financial analysis, strategic finance, or corporate finance roles Strong understanding of financial statements (PL, 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, trans ... (truncated, view full listing at source)
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