> Markdown version of [/jobs/ext/4637685-data-analyst-nyc](https://www.wearedevelopers.com/jobs/ext/4637685-data-analyst-nyc). 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, NYC - **Company:** Stripe, Inc. - **Location:** New York, NY, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, Data Analysis, Code Review, Information Engineering, Software Debugging, Distributed Data Store, Operational Databases, Query Optimization, Standard Sql, SQL Databases, Workflow Management Systems, Scripting, Apache Spark, Agentic-AI, Build Management, Stripe, Data Pipelines - **Published:** November 8, 2026 - **Apply:** https://www.juju.com/job/28_25303_097968c434e7630146f105ee5d108181 ## About the Role * 6+ years of full-time experience in Data Engineering, Analytics Engineering, Business Intelligence Engineering, or a related analytical role * Proficiency in SQL, including complex query optimization and data modeling * Proficiency in Scala or Python for data pipeline development, not just scripting and SQL * Experience with distributed data frameworks like Spark to write and debug data pipelines * Experience with workflow orchestration tools (e.g. Airflow, Flyte, or equivalent) * Proven ability to design, implement, and maintain production-grade data pipelines and dashboards * Good understanding of development processes and best practices like engineering standards, code reviews, and testing * Ability to clearly communicate results and drive impact with cross-functional partners * Experience owning production data products with defined quality standards, testing, and documentation * Proficiency with AI tools to accelerate model development, analysis, and coding ## Description * Design and build scalable data models and infrastructure to power product analytics and metrics reporting as we launch and grow new products * Own business-critical data products, including Tier-1 datasets and production pipelines, ensuring reliability through rigorous testing, monitoring, and documentation * Build and maintain the metric definitions, metadata, and business context that enable AI agents to help stakeholders explore trusted data and answer business questions independently * Develop dashboards, automated reporting, and thoughtful analyses to surface actionable insights and proactively identify business opportunities * Partner closely with senior business leaders to translate business needs into analytical questions and deliver clear recommendations through deep-dive analyses * Shape product and business strategy across global markets by distilling complex findings into compelling data narratives for senior stakeholders, Office-assigned Stripes in most of our locations are currently expected to spend at least 50% of the time in a given month in their local office or with users. This expectation may vary depending on role, team and location. For example, Stripes in Stripe Delivery Center roles in Mexico City, Mexico, Bengaluru, India, and Dublin, Ireland work 100% from the office. Also, some teams have greater in-office attendance requirements, to appropriately support our users and workflows, which the hiring manager will discuss. This approach helps strike a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility when possible.