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.
Data Analyst, SF
San Francisco
Live, first seen by us 27 days ago- 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 postingYou'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 qualificationsCore 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
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 17, 202627 days ago
- Recorded sightings
- 130
- Last seen by us
- Nov 13, 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
Time since we first saw it
Day 27
Similar jobs usually come down between day 5 and day 43.
At Stripe, jobs usually come down by about day 60.
From 14,584 similar postings that came down, and 46 of Stripe’s. Coming down is not always a hire.
Stripe is hiring
36 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
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 2 years, or BS or BA plus 3 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
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.
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
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.
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 2 years, or BS or BA plus 3 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
Source notes
Source excerptsSelected 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
San Francisco
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.