About the Job
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 ali...
Key Responsibilities
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 the 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.
Required Skills & Abilities
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, 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, MBRs
Proficiency with AI tools to accelerate model development, analysis, and coding
