Data Analyst, SF

Stripe•San Francisco, CA

About The Position

Stripe is a financial infrastructure platform used by businesses around the world. Data Science at Stripe brings together data analysts and data scientists to work with fundamental company data and support company-wide initiatives. In this role, you will partner with teams across Stripe to ensure users, products, and the business have the models, data products, and insights needed to make decisions and grow responsibly. You will work with partners to extract insights from complex data and collaborate 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, and deliver actionable recommendations through analyses and data storytelling.

Requirements

  • MS or MA plus 2 years, or BS or BA plus 3 years, of full-time experience (excluding internships) in Business Intelligence Engineering, Data Analyst, or Business Analyst roles.
  • Proficiency in SQL.
  • Ability to manage and deliver multiple projects with strong 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 through self-service tooling and training, supporting data literacy and autonomous reporting.

Nice To Haves

  • Prior experience at a growth-stage internet or software company.
  • Experience with distributed data frameworks such as Spark to write and debug data pipelines.
  • Good understanding of development processes and best practices, including 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.

Responsibilities

  • Partner with teams across Stripe to provide the models, data products, and insights needed to support decision-making and responsible growth.
  • Work with partners to extract insights from complex data.
  • Work with leaders to translate business needs into data problems.
  • Build metrics, scalable data pipelines, dashboards, and reports to inform and run the business.
  • Deliver actionable business recommendations through analyses and data storytelling.
  • Design, implement, and maintain data pipelines and dashboards that generate actionable insights based on stakeholder requirements.
  • Collaborate with cross-functional teams to deliver strategic insights, benchmarks, and analyses with recommendations.
  • Build self-service tooling and provide training that enables stakeholders to become data literate and self-sufficient in autonomous reporting.
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