Data Analyst, NYC

Stripe; New York (NY); On-site; USD 162,000 - 242,000; Full time

Benefits offered by this job

Equity

Company Bonus/Commissions

401(k) plan

Medical/Dental/Vision benefits

Wellness stipends

Job summary

Stripe is seeking a Data Analyst to partner with its Global organization, helping millions of users sell worldwide. You will build analytics and data products for solutions like Adaptive Pricing and Stripe Managed Payments, expanding into LATAM and EMEA.

You will design scalable data models, production pipelines, and dashboards, ensuring high-quality, actionable insights for senior stakeholders across global markets.

Qualifications

• 6+ years of full-time experience in Data Engineering, Analytics Engineering, BI Engineering, or related analytics role.
• Proficiency in SQL, including complex query optimization and data modeling.
• Proficiency in Python or Scala 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.

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.

Skills

SQL

Python

Scala

Data modeling

Dashboarding

Data storytelling

Tools

Spark

Airflow

Job description

Who we are

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

In-office expectations

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.

Pay and benefits

The annual US base salary range for this role is $161,600 - $242,400. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. Applicants interested in this role and who are not located in the US may request the annual salary range for their location during the interview process.

Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends.

Company

Stripe

Team

Data & Data Science

Office location

South San Francisco HQ

Employment type

Full time

We look forward to hearing from you.

At Stripe, we're looking for people with passion, grit, and integrity. You're encouraged to apply even if your experience doesn't precisely match the job description. Your skills and passion will stand out—and set you apart—especially if your career has taken some extraordinary twists and turns. At Stripe, we welcome diverse perspectives and people who think rigorously and aren't afraid to challenge assumptions. Join us.

Please find our California applicant personal information notice here.