Data Analyst, SF

Stripe, Inc.; South San Francisco (CA); On-site; USD 140,000 - 190,000; Full time

Job summary

Stripe, Inc. is seeking a data-focused BI Engineer/Data Analyst to collaborate across teams, building metrics and data products. You will translate business needs into data problems, design scalable pipelines, and deliver dashboards that inform strategic decisions and growth.

You will work with stakeholders to produce actionable insights, enable autonomous reporting, and communicate results clearly to drive impact across Stripe.

Qualifications

• MS or MA plus 2 years of full-time experience in BI/Data/Analyst roles
• Proficiency in SQL
• Proven ability to manage and deliver multiple projects with attention to detail
• Ability to communicate results clearly and drive impact
• Ability to design, implement and maintain data pipelines and dashboards to generate insights from stakeholder needs
• Experience collaborating with cross-functional teams to deliver strategic insights and recommendations

Responsibilities

• Build metrics, scalable data pipelines, dashboards, and reports to inform and run the business
• Translate business needs into data problems and solutions
• Deliver actionable business recommendations through analyses and data storytelling
• Partner with teams to ensure users, products, and business have the data insights needed to grow responsibly

Education

MS or MA + 2 years, of full-time experience in BI/Data/Analyst roles

BS or BA + 3 years, of full-time experience in BI/Data/Analyst roles

Tools

Spark

Python

SQL

Job description

About Stripe

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.

About the team

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.

What you'll do

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.

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.

Minimum Requirements

• MS or MA plus 2 years, or BS or BA plus 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

Preferred Qualifications

• 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