This listing doesn't post a salary. Most similar roles pay
$126,750–$166,625.
Based on 240 similar postings.
Employer
About Stripe
Stripe is a financial infrastructure platform for internet businesses, providing payment processing, billing, fraud prevention, and banking-as-a-service APIs to businesses of all sizes globally. Industry: Payments Infrastructure & Financial Technology
Stripe currently has
99 open roles
on FindRole.
Listed pay typically runs
$203,600–$288,000
across 96 roles with salary data.
As a Data Analyst, Intern, you will join the Data Science team to work with fundamental data that drives company-wide initiatives. You will own projects end-to-end, partnering with cross-functional teams to provide the models, data products, and insights necessary for responsible growth. Your daily responsibilities include building metrics, scalable data pipelines, dashboards, and reports while extending the metrics semantic layer. You will also perform A/B testing and business analytics to assess the impact of product launches and improvements. To succeed in this role, you must possess proficiency in SQL and AI tools for model development and coding. The work involves extracting insights from complex data to provide actionable recommendations through storytelling. This position focuses on solving problems related to financial infrastructure and providing the necessary data assets to support business processes and decision-making.
What does a Data Analyst earn?
Median $127875 from 54 postings across 18 companies.
Analyze complex data and run experiments to drive measurable business impact.
Build metrics, scalable data pipelines, dashboards, and reports to inform business operations.
Develop models and data products to support responsible growth and decision-making.
Extend the company's metrics semantic layer to improve data accessibility.
Create new and improved data assets to support product and business processes.
Assess the impact of product launches and improvements using business analytics and A/B testing.
Translate complex findings into actionable recommendations through data storytelling.
Present technical work and insights to internal teams and stakeholders.
What we're looking for
Enrolled in a quantitative Bachelor’s or Master's degree program (e.g., Data Analytics, Statistics, Economics, Mathematics) graduating in December 2027 or spring/summer 2028.
Experience with SQL.
Proficiency with AI tools to accelerate model development, analysis, and coding.
Experience communicating and collaborating with multidisciplinary stakeholders in a team environment.
Experience writing and debugging data pipelines (preferred).
Demonstrated ability to evaluate and receive feedback from mentors, peers, and stakeholders via previous internships or multi-person projects (preferred).
Ability to learn new systems through independent research and working with mentors and subject matter experts (preferred).