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
The Internal System Org is at the core of Stripe to empower business-critical financial domains including Finance and Strategy, Accounting, Tax, Treasury, Product Experience, and GTM. We are the Financial Enablement team, acting as the centralized data analytics team for Internal System Org. We enable and empower Finance and Strategy, GTM, Accounting, and Product teams to achieve business goals through dataset development, data analytics support, dashboards, AI, and operational efficiency enhancements.
What you'll do
You're passionate about solving business problems and making a direct impact on the business. You thrive in environments with many moving parts and quickly pick up new domain knowledge and technologies (e.g., AI). We're looking for someone with strong communication skills and advanced SQL and analytics abilities. A background in Accounting or Finance, or prior AI experience, is a strong plus, though these can also be developed on the job.
Responsibilities
- Perform data analysis, identify trends, conduct research, and build visualizations to deliver objective, critical insights that fulfill team stakeholders' business needs
- Work closely with cross-functional teams, including Finance and Strategy, Accounting, Product, Tax, User Billing, Seller System, and Sales Ops teams, to align on financial goals and drive revenue growth
- Work closely with Engineering and Product teams to help define product solutions
- Leverage AI tools to improve teamwork efficiency
Who you are
We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum requirements
- Bachelor's degree in a STEM major (e.g., Computer Science, Mathematics, Statistics, Engineering) and 4+ years of experience in data analysis
- Strong problem-solving ability, proficiency with SQL (minimum of 3 years of advanced SQL), and strong understanding of data relationships
- Experience working with large datasets
- Strong project management skills
- Domain knowledge in Finance, Accounting, and GTM
Preferred qualifications
- Experience working in fast-paced environments (e.g., high-growth fintech or tech company, management consulting)
- Experience working with PMs, Engineers, GTM, Accounting, or Finance teams
- Experience working with financial datasets
- Experience with AI tools (Claude Code, Kai, etc.)
- Qualification in Accounting or Finance, or CPA or CFA certification