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.
The Strategy & Analytics Internal Systems and SDC team aspires to supercharge the Internal Systems and SDC organization with analytics and insights. The Internal Systems and SDC org creates the engineering infrastructure and runs the internal operations that enables Stripe to succeed. We deliver data-driven insights that inform business decisions, drive measurable operational improvements, and guide strategy. We are not just data analysts, we are a mix of strategic business partners, deeply strategic and/or technical operational executors. We ensure timely, reliable, high-quality data for not just Internal Systems and SDC, but for stakeholders across Stripe.
Key Responsibilities & Day-to-Day Scope
- ✓ Metrics & Insights: Wrangle large, highly complex datasets using SQL into actionable insights and become the data expert for your business area. Develop metrics and large-scale dashboards to track the health of our user-facing and internal teams. Perform analyses (using SQL & other analytical tools/languages), identify trends, conduct research, build models, all to deliver objective, critical insights that can inform leadership of opportunities, risks, and strategic priorities.
- ✓ Communicate with executives: Create narratives and documents that tell the story of your business area to influence senior Operations leadership and Stripe executive team decision making. Own executive-facing weekly, monthly or quarterly reporting.
- ✓ Stakeholder management: Influence and drive cross-functional change by partnering with stakeholders across a wide internal network of globally distributed teams, including Ops, Finance, Data Science, Product/Engineering, and more
- ✓ Drive operational excellence: Design, optimize and drive operational reviews and rhythm of the business. Guide the planning and goal-setting process for your business area, as well as progress checks throughout the year. Bring and consistently apply a ROI lens to all operational decisions, so we can make better-informed trade-offs
- ✓ Conduct internal knowledge sharing sessions to strengthen the team
- ✓ Bachelor's degree in STEM major (i.e. Computer Science, Math, Stat, Engineering, etc.) and 4+ years of prior working experience in data analysis fields
- ✓ Strong analytical ability, proficiency with SQL (minimum of 3 years advanced SQL) and strong understanding of data relationships
- ✓ Experience working with extremely large datasets
Official Qualifications & Technical Requirements
- • Experience with AI tools (Claude Code, etc.) and have demonstrated measurable impact from AI in your role or in others’ around you.
- • Outstanding communication, presentation skills & stakeholder management skills
- • Experience working in or with Financial Services, Accounting, GTM/Sales, Operations
- • Expertise working cross-functionally and with globally distributed teams to drive business and operational goals using data
- • Ability to connect the big picture to minute details, toggling between them to set and operationalize strategy
- • Experience working in fast-paced environments (e.g. high-growth fintech/tech company, management consulting)
- • Experience working with Product Manager and Engineering teams
- • Experience with visualization tools
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.