Data Analyst
Join Stripe as a Data Analyst and help shape the financial infrastructure of the internet. As a Data Analyst, you’ll work with one of the world’s most innovative companies to empower businesses globally through insights, analytics, and scalable data solutions. This role offers a unique opportunity to use your analytical expertise to support product development, enhance decision-making, and drive responsible business growth. Whether you’re working remotely or in-office, your contributions will help increase the GDP of the internet while advancing your career in one of the most dynamic data environments in the world.
About the Data Analyst Role
As a Data Analyst at Stripe, you will work alongside data scientists, engineers, and business teams to analyze Stripe’s complex datasets and uncover actionable insights. You’ll help define key business metrics, build dashboards, and translate data into impactful stories that guide strategic decisions. This role blends technical depth, problem-solving, and collaboration to make data a driving force in Stripe’s global operations.
Key Responsibilities of a Data Analyst
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Collaborate with cross-functional teams to extract, analyze, and interpret business data.
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Build and maintain data pipelines, metrics, and dashboards to measure performance.
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Partner with product and engineering teams to design data models and improve data quality.
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Deliver insights that influence product strategy and operational decisions.
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Communicate analytical findings clearly through storytelling and visualization.
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Ensure analytics align with corporate goals and compliance processes.
Qualifications for Data Analyst
To excel as a Data Analyst at Stripe, you should have:
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2–8+ years of experience in Data Analysis, Data Science, or Business Intelligence.
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Strong proficiency in SQL and Python.
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Solid understanding of statistics and data-driven decision-making.
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Experience with data visualization tools to present insights effectively.
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Proven ability to manage multiple analytical projects simultaneously.
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Excellent communication and collaboration skills across teams.
Preferred Qualifications for Data Analyst
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Master’s degree in Statistics, Mathematics, Economics, or related fields.
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Experience with data frameworks such as Hadoop or Spark.
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Familiarity with engineering best practices, including code reviews and testing.
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Previous experience in fast-growing tech or SaaS companies.
Work Setup and Flexibility
Stripe offers flexible hybrid and remote options.
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In-office Data Analysts: Expected to work at least 50% of the month on-site for collaboration.
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Remote Data Analysts: May work from home if located 35+ miles (56 km) from a Stripe office.
This approach balances teamwork with flexibility, allowing you to grow in a supportive, tech-driven environment.
Compensation and Benefits for Data Analyst
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Annual U.S. base salary: $146,900 – $220,300, depending on experience and location.
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Additional benefits may include:
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Equity, company bonuses, or commission programs
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401(k) retirement plan
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Medical, dental, and vision coverage
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Wellness stipends and paid time off
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Why Join Stripe as a Data Analyst
Being a Data Analyst at Stripe means joining a world-class data team driving innovation in global finance. You’ll have the tools, mentorship, and challenges needed to make a lasting impact—while working on data that powers the internet economy.