Data Analyst

About Stripe

Stripe is a financial infrastructure platform for businesses, enabling millions of companies to accept payments, grow revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, offering an unprecedented opportunity to impact the global economy.

About The Team

The Data Science team at Stripe fosters a vibrant community for data analysts and data scientists to learn and grow. As a Data Analyst, you will work with Stripe’s fundamental data, driving company-wide initiatives. We align candidates to the most relevant team based on their background across a variety of Data Analytics roles.

What you'll do as a Data Analyst

• Partner deeply with teams across Stripe to ensure users, products, and business have necessary models, data products, and insights.
• Extract insights from Stripe's rich and complex data, working closely with various partners.
• Translate critical business needs into well-defined data problems in collaboration with leaders.
• Build robust metrics, scalable data pipelines, intuitive dashboards, and comprehensive reports to inform and operate the business.
• Deliver actionable business recommendations backed by thorough analyses and compelling data storytelling.

Who you are

We are looking for a candidate who meets the minimum requirements, with preferred qualifications being a bonus.

Minimum Requirements

• MS/MA + 2 years or BS/BA + 3 years of full-time experience (exclusive of internships) in Business Intelligence Engineering, Data Analyst, or Business Analyst roles.
• Proficiency in SQL.
• Proven ability to manage and deliver multiple projects with meticulous attention to detail.
• Strong ability to clearly communicate results and drive measurable impact.
• Capability to design, implement, and maintain data pipelines and dashboards for actionable insights based on stakeholder needs.
• Experience collaborating with cross-functional teams to deliver strategic insights, benchmarks, and analyses with clear recommendations.
• Ability to empower stakeholders by building self-service tooling and providing training to foster data literacy and autonomous reporting.

Preferred Qualifications

• Prior experience at a growth-stage internet or software company.
• Experience with distributed data frameworks like Spark for writing and debugging data pipelines.
• Good understanding of development processes and best practices including engineering standards, code reviews, and testing.
• Strong statistical knowledge.
• Working knowledge of Python.
• Experience creating leadership-level reporting, such as QBRs and MBRs.

Hybrid Work at Stripe

This role offers flexibility, available either in an office or a remote location (35+ miles or 56+ km from a Stripe office).

• In-office expectations: Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users, balancing collaboration with flexibility.
• Working remotely at Stripe: Remote is defined as 35 miles (56 kilometers) or more from an office. Remote employees primarily work from home but are welcome for team meetings and events. Relocation costs to a remote location are not covered.

Key skills/competency

• Data Analysis
• SQL
• Data Pipelines
• Dashboards & Reporting
• Business Intelligence
• Stakeholder Collaboration
• Data Storytelling
• Statistical Analysis
• Python
• Spark