Data Analyst, NYC
Stripe Open · verified Oct 24, 2026 At a glance
Mid-level Data Analysis & BI role at Stripe. New York · no salary stated · we estimate $97,500–$149,205.
Stripe has not published a salary for this role. The figure below is our estimate, not theirs.
dataroles summary, based on the employer's posting.
What you'll do
- Build scalable data models and infrastructure for product analytics and reporting as products launch and expand
- Keep critical datasets and production pipelines reliable with testing, monitoring and documentation
- Define metrics and business context so AI agents can help stakeholders explore trusted data independently
- Create dashboards, automated reports and deep-dive analyses that surface opportunities and clear recommendations
- Turn complex findings into data narratives that inform senior leaders on product and global-market strategy
What you bring
- At least six years in data engineering, analytics engineering, BI engineering or a related analytical role
- Strong SQL skills, including complex query tuning and data modeling, plus Scala or Python for pipeline development
- Hands-on experience building and debugging data pipelines with Spark and an orchestration tool such as Airflow or Flyte
- A track record maintaining production pipelines and dashboards with testing, quality standards and documentation
- You communicate findings clearly, work across teams and use AI tools to speed up modeling, analysis and coding
Who this fits
This role suits an experienced analyst who can build production data products and turn business questions into recommendations. You’ll partner with senior business leaders and cross-functional teams on products and markets spanning LATAM and EMEA. The position is based in New York.
From the employer
Who we are
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.
About the team
Data Science at Stripe is a vibrant community where data analysts and data scientists learn and grow together. You'll work with some of the most fundamental data at Stripe, and use that data to help drive company-wide initiatives. We have a variety of Data Analytics roles and teams across Stripe and Data Analysts are hired in line with the business needs and domain of the organization they will support.
What you’ll do
We’re looking for a Data Analyst to partner with Stripe’s Global organization, helping millions of users sell around the world. You’ll help build analytics and data products for solutions such as Adaptive Pricing and Stripe Managed Payments, as well as Stripe’s expansion into new markets across LATAM and EMEA.
Responsibilities
- 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
Who you are
We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum requirements
- 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
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