Back to jobs

Data Analyst, Intern

New York, Seattle, South San Francisco HQ

Live, first seen by us 23 days ago
Pay
Pay not listedSimilar roles state $94K–$144K
Work setting
Not stated
Employment
Not stated

Before you apply

New graduates
For current studentsJob title: Data Analyst, Intern

What you’ll work on

Full posting
  • Analyze data and run experiments to drive impact

  • Create metrics, reports, and dashboards to inform the business

  • Build new data assets and improve existing ones

  • Assess decisions and product launches using analytics and A/B testing

  • Extend Stripe's metrics semantic layer

From the employer’s posting
Analyze data and running experiments to drive impact
Create metrics, reports, and dashboards to inform and run the business
Build new data assets and improve existing data assets to support decision-making, products, and business processes
Assess the impact of decisions, product launches, and product improvements using business analytics and A/B testing
Extend Stripe’s metrics semantic layer

What you’ll bring

All qualifications

Core experience

  • Proficiency with AI tools to accelerate model development, analysis, and coding
  • Experience communicating and collaborating with multidisciplinary stakeholders in a team environment

Preferred experience

  • Experience writing and debugging data pipelines
  • Demonstrated ability to evaluate and receive feedback from mentors, peers, and stakeholders via experience from previous internships or other multi-person projects
  • Ability to learn new systems and form an understanding of those systems, through independent research and working with a mentor and subject matter experts
Qualification wording
Proficiency with AI tools to accelerate model development, analysis, and coding
Experience communicating and collaborating with multidisciplinary stakeholders in a team environment
Experience writing and debugging data pipelines
Demonstrated ability to evaluate and receive feedback from mentors, peers, and stakeholders via experience from previous internships or other multi-person projects
Ability to learn new systems and form an understanding of those systems, through independent research and working with a mentor and subject matter experts
Education & alternatives
Minimum requirements - Enrolled in a quantitative Bachelor’s or Master's degree program (e.g. Data Analytics, Statistics, Economics, Mathematics, etc.) with the expectation of graduating in December 2027 or spring/summer 2028 - Experience with SQL

About Stripe

We build programmable financial infrastructure, rethinking from first principles how financial services should work, to make it easier and cheaper for any business to start and scale.

In the employer’s words · Read in context

Apply at Stripe

Posting record

Report an error
Status in our records
Live
First seen by us
Oct 17, 202623 days ago
Recorded sightings
130
Last seen by us
Nov 9, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$94.5K–$144K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 2,014 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 23

Similar jobs usually come down between day 5 and day 42.

At Stripe, jobs usually come down by about day 45.

From 12,311 similar postings that came down, and 40 of Stripe’s. Coming down is not always a hire.

Stripe is hiring

35 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Analyst hiring is picking up
  • Takes jobs down at a usual pace
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • SQL
Where the posting names them
- Enrolled in a quantitative Bachelor’s or Master's degree program (e.g. Data Analytics, Statistics, Economics, Mathematics, etc.) with the expectation of graduating in December 2027 or spring/summer 2028 - Experience with SQL - Proficiency with AI tools to accelerate model development, analysis, and coding

Your next step

Complete your application on stripe.com. The employer’s form will show what is required.

Applying through Greenhouse

  • No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
  • Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.

Already applied? Track this application

Has Stripe posted this job before?

Yes. We’ve followed one other Data Analyst, Intern job there since October 2026. It is still up.

  1. TorontoStill up after 24 days, first seen Oct 17
  2. This jobUp 24 days so far, first seen Oct 17

Demand for Analyst roles

New Analyst postings at the employers we follow are up 24% over the last 6 weeks compared with the 6 before.

Weekly new Analyst postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 966, the most 1,495, and the latest week had 1,495.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Analyst, by the work the posting describes.

Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.

Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.

Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.

Job description

View original posting ↗

Who we are

About Stripe

Stripe is a technology company focused on improving the conditions for economic growth and prosperity. We build programmable financial infrastructure, rethinking from first principles how financial services should work, to make it easier and cheaper for any business to start and scale. More than 10 million businesses build on Stripe, spanning the economic frontier—from solo founders to established enterprises—united by a practical focus on growth. The most ambitious companies in the world use Stripe as core infrastructure to grow faster. They process trillions of dollars a year on Stripe, equivalent to around 1.6% of global GDP. While economic growth makes everyone better off, open markets also enable greater variety. When any business can easily serve a global customer base, the quality and diversity of products in the world increase, and craft and creativity are unleashed into the smallest niches. Our own growth is wholly contingent on the success of the businesses building on Stripe. We therefore invest back into our technology at an unusual rate. We make upgrades to our products every single day to deliver compounding gains to our customers. We maintain some of the most reliable APIs on the internet. We build entirely new pieces of financial infrastructure to enable new ideas. And our significant advances in risk and fraud infrastructure over many years are making the internet economy safer and more accessible.

Though people at Stripe don’t tend to take themselves seriously, Stripe is a fairly serious place: our customers are depending on us for their livelihoods. We admire ambition, intensity, curiosity, humility, and rigor. The most effective people become knowledgeable about many domains besides their own. Any company is an applied exercise in understanding some aspect of society or the market. In working with so many (especially the new and innovative ones), we think that Stripe is one of the very best places to learn about how the world works.

 

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 will seek to align you to the most relevant team based on your background.

 

What you’ll do

As an intern at Stripe you’ll work on projects across our stack that directly impact the way millions of businesses operate. You’ll own problems end to end with the support of your manager and teammates. It’s an opportunity to work alongside some of the most creative and technically rigorous data analysts and scientists in the industry. You'll partner deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly. You'll work closely with partners to extract insights from the rich and complex data at Stripe. You'll build metrics, scalable data pipelines, dashboards, and reports to inform and run the business. You'll deliver actionable business recommendations through analyses and data storytelling.

Our internship program is competitive and the expectations are high.

 

Responsibilities

  • Analyze data and running experiments to drive impact
  • Ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly
  • Create metrics, reports, and dashboards to inform and run the business
  • Extend Stripe’s metrics semantic layer
  • Build new data assets and improve existing data assets to support decision-making, products, and business processes
  • Assess the impact of decisions, product launches, and product improvements using business analytics and A/B testing
  • Learn quickly by asking great questions, finding how to work with your mentor and teammates effectively, and communicating the status of your work clearly
  • Present your work to the Data Science team, partner teams, and fellow interns

 

Who you are

  • Ambitious builder: You’re energized by building solutions without clear precedent and solving problems with far-reaching consequences. Successful Stripes are deeply curious, and prefer the joy of discovery to the comfort of certainty.
  • Rigorous thinker: You appreciate that things worth doing are rarely simple. You enjoy working on problems that have never been tackled before.
  • Adaptable problem solver: You adapt quickly and treat obstacles as opportunities. At Stripe we embrace kindness while encouraging Stripes to take measured risks and act boldly, even in the absence of consensus.

 

Minimum requirements

  • Enrolled in a quantitative Bachelor’s or Master's degree program (e.g. Data Analytics, Statistics, Economics, Mathematics, etc.) with the expectation of graduating in December 2027 or spring/summer 2028
  • Experience with SQL
  • Proficiency with AI tools to accelerate model development, analysis, and coding
  • Experience communicating and collaborating with multidisciplinary stakeholders in a team environment

 

Preferred qualifications

  • Experience writing and debugging data pipelines
  • Demonstrated ability to evaluate and receive feedback from mentors, peers, and stakeholders via experience from previous internships or other multi-person projects
  • Ability to learn new systems and form an understanding of those systems, through independent research and working with a mentor and subject matter experts
Source details

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay

No pay amount identified in the saved description.

Location & working pattern

New York, Seattle, South San Francisco HQ

Working pattern and location restrictions need checking in the full posting.

Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

Find answers in the posting

AI
How answers work

AI selects complete passages from this posting. Check them for conditions and exceptions.

Uses this posting and your question. No profile needed.