> Markdown version of [/jobs/ext/4708065-data-analyst-sf](https://www.wearedevelopers.com/jobs/ext/4708065-data-analyst-sf). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Analyst, SF - **Company:** Stripe, Inc. - **Location:** San Francisco, CA, United States - **Experience:** Experienced - **Contract:** Internship / Graduate position - **Skills:** Artificial Intelligence, Data Analysis, Code Review, Software Debugging, Distributed Data Store, Python (Programming Language), SQL Databases, Apache Spark, Data Management, Data Pipelines - **Published:** November 13, 2026 - **Apply:** https://www.careerbuilder.com/job-details/data-analyst-sf-san-francisco-ca--3b163867-a830-4377-a4ab-1d2085871f0d ## About the Role Data Analysis, Startup, Revenue Growth, Data Science, Data Analysis, Metrics, Storytelling, Reporting Dashboards, Data Management, Data Modeling, * MS or MA plus 2 years, or BS or BA plus 3 years, of full-time experience exclusive of internships in Business Intelligence Engineering, Data Analyst, and 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 and MBRs * Proficiency with AI tools to accelerate model development, analysis, and coding