About the team

Data Science at Stripe is a vibrant community where data analysts and data scientists learn and grow together. You will work with some of Stripe’s most fundamental and exciting data, 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 will 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 will work closely with partners to extract insights from Stripe's rich and complex data. You will also work with leaders to translate business needs into data problems. You will build metrics, scalable data pipelines, dashboards, and reports to inform and run the business. You will deliver actionable business recommendations through analyses and data storytelling.

• Who you are
• 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/MA + 2 years or BS/BA + 3 years of full time experience exclusive of internships in Business Intelligence Engineering, Data Analyst, 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, MBRs.