Data Analyst

Stripe

5d

About The Position

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. The Data Science team at Stripe is a vibrant community where data analysts and data scientists learn and grow together. 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.

Requirements

• MS or MA plus 6 years, or BS or BA plus 8 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

Nice To Haves

• 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
• Proficiency with AI tools to accelerate model development, analysis, and coding

Responsibilities

• 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.
• Work closely with partners to extract insights from the rich and complex data at Stripe.
• Work with leaders to translate business needs into data problems.
• Build metrics, scalable data pipelines, dashboards, and reports to inform and run the business.
• Deliver actionable business recommendations through analyses and data storytelling.
• Design, implement, and maintain data pipelines and dashboards to generate actionable insights based on stakeholder requirements.
• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level