Role Description & Responsibilities
Data Analytics
About Stripe
Stripe is a high-growth technology leader building scalable solutions for global users. Millions of companies and teams rely on their infrastructure and services to execute high-value workflows, analyze massive datasets, and scale modern operations.
CadetX Candidate Advantage: As an applicant for this Data Analytics role, you are evaluated on practical proficiency with real-world query execution, data pipelines, and clear stakeholder communication.
CadetX Role Brief & Company Specifications
Role Mission & Impact
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.
Data 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.
Key Responsibilities & Day-to-Day Scope
- ✓ MS/MA + 2 years or BS/BA + 3 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
Official Qualifications & Technical Requirements
- • 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, MBRs
- • Proficiency with AI tools to accelerate model development, analysis, and coding
Preferred Skills & Technology Stack
- + Experience working with cloud data warehouses (Snowflake, BigQuery, or Amazon Redshift).
- + Familiarity with Git version control and collaborative code review workflows.
- + Demonstrated portfolio or capstone projects exhibiting practical end-to-end analytics problem solving.
Tech Stack & Tools in this role
Expected technical competencies for Day 1 productivity:
★ Life & Culture at Stripe
Verified EmployerStripe champions rigorous analytical discipline, continuous learning, and low-ego teamwork. Team members enjoy flexible hybrid allowances, learning stipends, and structured mentorship to fast-track career mobility.