Strategic Overview
Data Analyst, SF at Stripe is defined by the responsibilities and candidate requirements in the employer's listing.
The published role emphasizes work such as 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.
The role is listed for San Francisco, giving candidates the practical context needed to assess fit before applying.
Key information at a glance
About This Role
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.
Key Responsibilities & Objectives
- 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.
Required Qualifications & Candidate Blueprint
- 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
Salary & Benefits
The available source data does not publish a numerical salary range for this opening. We do not estimate or substitute third-party figures.
Full Job Description
The following is the complete job description supplied by the source. We sanitize unsafe markup and remove external links, but do not shorten or rewrite the employer's source content.
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
Editor’s Market Perspective (Our Custom Analysis)
Why This Position Matters
This opening may suit candidates who can demonstrate experience relevant to the employer's published requirements. Its strongest career signal is the scope of the work itself — particularly 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. — rather than a generic title alone.
Resume & Application Strategy
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