Finance & Strategy, Corporate Finance Analyst

Stripe•New York, NY

11h•$122,400 - $183,600•Hybrid

About The Position

Stripe, LLC. 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.

Requirements

Bachelor's degree or foreign equivalent in Economics, Business, Finance, or a related field, plus 4 years of experience in strategic finance or financial planning and analysis.
4 years of experience in building integrated models from scratch in Excel, or Anaplan.
4 years of experience working in high-growth technology or a financial services company.
4 years of experience in data visualization and dashboarding.
4 years of experience working with Python or large datasets.
4 years of experience working with financial reporting principles, including GAAP.
4 years of experience applying financial methodologies, including scenario modeling, unit economics, and variance analysis, to evaluate the financial impact of strategic decisions.
4 years of experience developing and monitoring business performance metrics, including EBITDA, ROI, FCF, and Operating Margin, in dashboards and management materials.

Responsibilities

Leverage your financial background to support and influence key strategic and business decisions.
Design and provide analytical rigor to measure efficiency and ROI of investments in headcount and non-headcount expenses.
Drive reporting, process and discipline for finance routines to shape and influence decision-making (e.g. budget, forecast, monthly reviews, long-range plans).
Build and own models for in-depth analyses, as well as ensure their quality, timeliness, and accuracy.
Define metrics and leading indicators of business performance.
Partner with cross functional teams, such as Data Science, to develop reporting dashboards.
Drive continuous process improvement, standardization, simplification and reporting enhancements.
Build and use AI tools, Google sheets, and SQL to assist with analysis, improve process efficiencies and automation.