S Data Analyst, NYC Stripe via Greenhouse New York 7112 data science View role

Nubeero Limited; New York (NY); Hybrid; USD 120,000 - 160,000; Full time

Job summary

Stripe seeks a Data Analyst to partner with its Global organization, building analytics and data products for solutions like Adaptive Pricing and Stripe Managed Payments. You’ll design scalable data models, own critical datasets, and deliver dashboards to surface actionable insights across LATAM and EMEA.

With 6+ years in analytics/engineering, you will collaborate with senior leaders to translate business needs into data-driven recommendations and craft narratives that influence strategy across

Qualifications

• 6+ years of full-time experience in Data Engineering, Analytics Engineering, BI Engineering, or related analytics roles.
• Proficiency in SQL with complex queries and data modeling.
• Proficiency in Python or Scala for data pipeline development.
• Experience with distributed data frameworks like Spark.
• Experience with workflow orchestration tools such as Airflow or Flyte.
• Ability to design, implement, and maintain production-grade data pipelines and dashboards.
• Strong communication skills to drive impact with cross-functional partners.

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 testing, monitoring, and documentation.
• Build and maintain the metric definitions, metadata, and business context that enable AI agents to help stakeholders explore trusted data.
• Develop dashboards, automated reporting, and analyses to surface actionable insights and opportunities.
• Partner with senior leaders to translate business needs into analytical questions and deliver clear recommendations.
• Shape product and business strategy across global markets by distilling findings into compelling data narratives for senior stakeholders.

Tools

Spark

Airflow

Job description

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.

• 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