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.
Our Data Science team partners 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. We're looking for a data analyst with a passion for analyzing data, statistical models, and running experiments to drive impact. Our work is broad and varied, influencing how our products work (e.g., understanding user needs, preventing fraud, or optimizing charge flows), how our business works (forecasting key outcomes, managing liquidity, and quantifying risk exposure), how our go-to-market motions operate (designing growth experiments, optimizing marketing investments, refining sales processes, and estimating causal effects), and everything in between.
Key Responsibilities & Day-to-Day Scope
- ✓ Design and build scalable data models and infrastructure to power product analytics and metrics reporting as we launch and grow new products
- ✓ Own business-critical data products, including datasets and production pipelines, ensuring reliability through rigorous testing, monitoring, and documentation
- ✓ Build and maintain the metric definitions, metadata, and business context that enable AI agents to help stakeholders explore trusted data and answer business questions independently
- ✓ Develop dashboards, automated reporting, and thoughtful analyses to surface actionable insights and proactively identify business opportunities
- ✓ Partner closely with senior business leaders to translate business needs into analytical questions and deliver clear recommendations through deep-dive analyses
- ✓ Shape product and business strategy across global markets by distilling complex findings into compelling data narratives for senior stakeholders
- ✓ Bachelor’s degree and 8 years of experience, master’s degree and 6 years of experience, or PhD and 3 years of experience
- ✓ Proficiency in Scala or Python for data pipeline development, not just scripting and SQL
- ✓ Proven ability to manage and deliver on multiple projects with great attention to detail
- ✓ Ability to clearly communicate results and drive impact
Official Qualifications & Technical Requirements
- • Experience with workflow orchestration tools (e.g. Airflow, Flyte, or equivalent)
- • Experience with distributed data frameworks such as Spark to write and debug data pipelines
- • Proficiency with AI tools to accelerate model development, analysis, and coding
- • 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
- • Good understanding of development processes and best practices like engineering standards, code reviews, and testing
- • Working knowledge of Python
- • Experience creating leadership-level reporting, such as quarterly business reviews and monthly business reviews
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.