Data Analyst, NYC
Stripe · New York · 7112 Data Science · listed September 10, 2026
The shape of it
Seniority
Senior
Experience asked
6+ years
Where
Not stated
Requirements listed
10
Length
490 words
In the posting’s own words
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 it asks for · 10
- 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
What the job covers
- 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
Tools and skills named
Ways of working
- Testing3×
- Technical writing2×
- Code review
- Cross-functional
Data
- Data pipelines3×
- Airflow
- Data modeling
- Spark
Languages
- SQL2×
- Python
- Scala
Go to market
- Pipeline generation
Words the posting leans on
- data20×
- business8×
- products6×
- analytics4×
- engineering4×
- experience4×
- pipelines4×
- requirements4×
- build3×
- data products3×
- development3×
- partner3×
- proficiency3×
- testing3×
- analyses2×
- analytical2×
Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.
The posting, your resume, and the gaps between them. One click loads all three.