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Data Analyst

Pay
Pay not listedSimilar roles state $94K–$145K
Work setting
Not stated
Employment
Not stated

Before you apply

Employer’s visa record
476 H-1B petitions approved in fiscal 2024 and 2025For the employer as a whole. This posting doesn’t say whether the role is sponsored. US Citizenship and Immigration Services.

What you’ll work on

Full posting
  • 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.

From the employer’s posting
What you'll do In this role, 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 also work with leaders to translate business needs into data problems. 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. Who you are

What you’ll bring

All qualifications

Core experience

  • Proven ability to manage and deliver on multiple projects with great attention to detail
  • Ability to clearly communicate results and drive impact
  • Ability to design, implement, and maintain data pipelines and dashboards to generate actionable insights based on stakeholder requirements
  • Experience collaborating with cross-functional teams to deliver strategic insights, benchmarks, and analyses that provide recommendations
  • Ability to enable stakeholders and partners by building self-service tooling and providing training to empower stakeholder teams to be data literate and self-sufficient in autonomous reporting capabilities

Preferred experience

  • Prior experience at a growth-stage internet or software company
  • Experience creating leadership-level reporting, such as QBRs and MBRs
  • Experience with distributed data frameworks like Spark to write and debug data pipelines
  • Proficiency with AI tools to accelerate model development, analysis, and coding
Qualification wording
Proven ability to manage and deliver on multiple projects with great attention to detail
Ability to clearly communicate results and drive impact
Ability to design, implement, and maintain data pipelines and dashboards to generate actionable insights based on stakeholder requirements
Experience collaborating with cross-functional teams to deliver strategic insights, benchmarks, and analyses that provide recommendations
Ability to enable stakeholders and partners by building self-service tooling and providing training to empower stakeholder teams to be data literate and self-sufficient in autonomous reporting capabilities
Prior experience at a growth-stage internet or software company
Experience creating leadership-level reporting, such as QBRs and MBRs
Experience with distributed data frameworks like Spark to write and debug data pipelines
Proficiency with AI tools to accelerate model development, analysis, and coding

About Stripe

Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead.

In the employer’s words · Read in context

Apply at Stripe

Posting record

Report an error

Open 7 monthsWe first saw this posting 214 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
Apr 14, 2026214 days ago
Recorded sightings
23
Last seen by us
Nov 14, 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

$94.4K–$145K is typical

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

From 2,036 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 214

Up longer than most. Similar jobs usually come down between day 5 and day 43.

Well past Stripe’s usual: its jobs come down by about day 60.

From 14,731 similar postings that came down, and 46 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.

  • Python
  • SQL
  • Spark
Where the posting names them
- Strong statistical knowledge - Working knowledge of Python - Experience creating leadership-level reporting, such as QBRs and MBRs
- MS or MA plus 6 years, or BS or BA plus 8 years, of full-time experience exclusive of internships in Business Intelligence Engineering, Data Analyst, and Business Analyst roles - Proficiency in SQL - Proven ability to manage and deliver on multiple projects with great attention to detail
- Prior experience at a growth-stage internet or software company - Experience with distributed data frameworks like Spark to write and debug data pipelines - Good understanding of development processes and best practices like engineering standards, code reviews, and testing

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 job there since April 2026. It is still up.

  1. Place not statedStill up after 214 days, first seen Apr 14
  2. This jobUp 214 days so far, first seen Apr 14

Demand for Analyst roles

New Analyst postings at the employers we follow are up 23% 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 993, the most 1,515, and the latest week had 1,515.
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 ↗

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

What you'll do

In this role, 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 also work with leaders to translate business needs into data problems. 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.

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

  • MS or MA plus 6 years, or BS or BA plus 8 years, of full-time experience exclusive of internships in Business Intelligence Engineering, Data Analyst, and Business Analyst roles
  • Proficiency in SQL
  • Proven ability to manage and deliver on multiple projects with great attention to detail
  • Ability to clearly communicate results and drive impact
  • Ability to design, implement, and maintain data pipelines and dashboards to generate actionable insights based on stakeholder requirements
  • Experience collaborating with cross-functional teams to deliver strategic insights, benchmarks, and analyses that provide recommendations
  • Ability to enable stakeholders and partners by building self-service tooling and providing training to empower stakeholder teams to be data literate and self-sufficient in autonomous reporting capabilities

Preferred Qualifications

  • Prior experience at a growth-stage internet or software company
  • Experience with distributed data frameworks like Spark to write and debug data pipelines
  • Good understanding of development processes and best practices like engineering standards, code reviews, and testing
  • Strong statistical knowledge
  • Working knowledge of Python
  • Experience creating leadership-level reporting, such as QBRs and MBRs
  • Proficiency with AI tools to accelerate model development, analysis, and coding
Source details

View original posting ↗

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US

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