Data Analytics Intern: Build Metrics & Dashboards

Stripe

New York (NY)

On-site

USD 20,000 - 33,000

Full time

5 days ago
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Job summary

Stripe is seeking a curious Data Science intern to help drive business decisions by building models, dashboards, and data products. You’ll work on projects across Stripe’s analytics stack, owning problems end to end with mentor support and collaboration from data analysts and scientists.

You’ll partner with teams to extract insights from Stripe’s rich data, develop scalable data pipelines, and tell data-driven stories that inform strategy and growth.

Qualifications

  • Enrolled in a quantitative Bachelor's or Master's degree program with expected graduation Dec 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.

Responsibilities

  • Analyze data and run experiments to drive impact.
  • Create metrics, reports, and dashboards to inform and run the business.
  • Extend Stripe’s metrics semantic layer.
  • Build new data assets and improve existing data assets to support decision-making, products, and business processes.
  • Assess the impact of decisions, product launches, and product improvements using business analytics and A/B testing.
  • Learn quickly by asking great questions, working with a mentor and teammates, and communicating status clearly.
  • Present your work to the Data Science team, partner teams, and fellow interns.

Skills

SQL
AI tools
Communication

Education

Bachelor’s or Master’s degree in a quantitative field

Job description

Stripe is seeking a curious Data Science intern to help drive business decisions by building models, dashboards, and data products. You’ll work on projects across Stripe’s analytics stack, owning problems end to end with mentor support and collaboration from data analysts and scientists.

You’ll partner with teams to extract insights from Stripe’s rich data, develop scalable data pipelines, and tell data-driven stories that inform strategy and growth.

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