Data Analyst

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 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.

What you'll do

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.

Minimum Requirements

• 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.
  
  
  

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, MBRs.
  
  
  

In-office expectations

Office-assigned Stripes in most of our locations are currently expected to spend at least 50% of the time in a given month in their local office or with users. This expectation may vary depending on role, team and location. For example, Stripes in Stripe Delivery Center roles in Mexico City, Mexico, Bengaluru, India, and Dublin, Ireland work 100% from the office. Also, some teams have greater in-office attendance requirements, to appropriately support our users and workflows, which the hiring manager will discuss. This approach helps strike a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility when possible.

Pay and benefits

Stripe does not yet include pay ranges in job postings in every country. Stripe strongly values pay transparency and is working toward pay transparency globally.