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 teamData Science at Stripe is a vibrant community where data analysts and data scientists learn and grow together. You'll work with some of the most fundamental data at Stripe, and use that data to help drive company-wide initiatives. We have a variety of Data Analytics roles and teams across Stripe and will seek to align you to the most relevant team based on your background.
What you'll doIn this role, you'll partner deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly. You'll work closely with partners to extract insights from the rich and complex data at Stripe. You'll also work with leaders to translate business needs into data problems. You'll build metrics, scalable data pipelines, dashboards, and reports to inform and run the business. You'll deliver actionable business recommendations through analyses and data storytelling.
Who you areWe'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- MS or MA plus 6 years, or BS or BA plus 8 years, of full-time experience exclusive of internships in Business Intelligence Engineering, Data Analyst, and Business Analyst roles
- Proficiency in SQL
- Proven ability to manage and deliver on multiple projects with great attention to detail
- Ability to clearly communicate results and drive impact
- Ability to design, implement, and maintain data pipelines and dashboards to generate actionable insights based on stakeholder requirements
- Experience collaborating with cross-functional teams to deliver strategic insights, benchmarks, and analyses that provide recommendations
- Ability to enable stakeholders and partners by building self-service tooling and providing training to empower stakeholder teams to be data literate and self-sufficient in autonomous reporting capabilities
- Prior experience at a growth-stage internet or software company
- Experience with distributed data frameworks like Spark to write and debug data pipelines
- Good understanding of development processes and best practices like engineering standards, code reviews, and testing
- Strong statistical knowledge
- Working knowledge of Python
- Experience creating leadership-level reporting, such as QBRs and MBRs
- Proficiency with AI tools to accelerate model development, analysis, and coding
Skills Required
- MS or MA plus 6 years, or BS or BA plus 8 years, of full-time experience in Business Intelligence Engineering, Data Analyst, or Business Analyst roles, excluding internships
- Proficiency in SQL
- Ability to manage and deliver multiple projects with strong attention to detail
- Ability to clearly communicate results and drive impact
- Experience designing, implementing, and maintaining data pipelines and dashboards based on stakeholder requirements
- Experience collaborating cross-functionally to deliver strategic insights, benchmarks, analyses, and recommendations
- Ability to build self-service tooling and provide training that enables stakeholders to perform autonomous reporting
- Experience at a growth-stage internet or software company
- Experience with distributed data frameworks such as Spark for writing and debugging data pipelines
- Understanding of development processes and best practices, including engineering standards, code reviews, and testing
- Strong statistical knowledge
- Working knowledge of Python
- Experience creating leadership-level reporting, such as QBRs and MBRs
- Proficiency with AI tools for accelerating model development, analysis, and coding
Stripe Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Stripe and has not been reviewed or approved by Stripe.
-
Healthcare Strength — Health coverage is robust, with medical, dental, and vision options for employees and dependents, plus mental-health resources and wellness support. Public materials also highlight wellness stipends that complement core insurance offerings.
-
Equity Value & Accessibility — Compensation packages often include equity grants or stock options alongside competitive salaries and performance-based bonuses, creating meaningful upside. Sales roles may also include commissions, broadening incentive opportunities.
-
Parental & Family Support — Family-planning benefits include fertility coverage and adoption assistance, paired with generous parental leave for birthing and non-birthing parents. These offerings sit alongside ample PTO and flexible scheduling in many teams.
Stripe Insights
What We Do
Stripe is a technology company that builds economic infrastructure for the internet. Businesses of every size—from new startups to public companies like Salesforce and Facebook—use the company’s software to accept online payments and run technically sophisticated financial operations in more than 100 countries. Stripe helps new companies get started and grow their revenues, and established businesses accelerate into new markets and launch new business models. Over the long term, Stripe aims to increase the GDP of the internet.
