Stripe에서 비즈니스 성장을 견인할 Data Analyst를 채용합니다. SQL 활용 능력과 데이터 파이프라인 구축 경험이 필수이며, 유관 부서와 협업하여 전략적 인사이트를 도출하는 역할을 수행합니다. 데이터 기반의 의사결정을 지원하고 비즈니스 문제를 해결하는 데 열정이 있는 분들의 많은 지원 바랍니다.
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 and exciting 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.
In 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 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.
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.
• MS or MA + 2 years or BS or 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
• 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
