Data Analyst
@ Stripe

Hybrid
$220,300
Hybrid
Full Time
Posted 9 hours ago

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XXXXXXXXXX XXXXXXXXXXX XXXXXX******* @stripe.com
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Job Details

About Stripe

Stripe is a financial infrastructure platform powering businesses globally. Millions of companies—from large enterprises to ambitious startups—rely on Stripe to accept payments, grow revenue, and unlock new business opportunities. The mission is to increase the GDP of the internet.

About The Team

The Data Science team at Stripe is a vibrant community of data analysts, data scientists, and engineers. As a Data Analyst at Stripe, you will have the opportunity to work with fundamental data that drives major company-wide initiatives.

What you'll do

You will partner with multiple teams to ensure that Stripe's users, products, and business benefit from robust data models, pipelines, dashboards, and reports. Responsibilities include:

  • Extract insights from complex datasets
  • Translate business needs into data problems
  • Build metrics and scalable data pipelines
  • Develop dashboards and reports to inform decisions
  • Deliver actionable business recommendations through data storytelling

Who you are

The ideal candidate will have 2-8+ years of experience in Business Intelligence, Data Engineering, Data Analysis, or Data Science. You should be proficient in SQL and Python with strong statistical skills and a capability to communicate insights effectively.

Minimum Requirements

  • 2-8+ years experience in relevant data roles
  • Proficiency in SQL and Python
  • Strong statistical knowledge
  • Expertise in data visualization and actionable insights
  • Ability to manage multiple projects with high attention to detail

Preferred Qualifications

  • Master’s degree in Mathematics, Statistics, Economics, Engineering, or related field
  • Experience at a growth stage internet or software company
  • Knowledge of distributed data frameworks like Hadoop and Spark
  • Understanding of engineering best practices
  • Note: This role is not eligible for hire in the Greater Seattle Area, Greater NYC Area, or San Francisco Bay Area

Work Arrangement

This role offers a hybrid work model: candidates may work in an office or remotely (if 35+ miles from a Stripe office). Office-assigned employees are expected to work in-office at least 50% of the time monthly to facilitate collaboration.

Pay and Benefits

The annual US base salary range is $146,900 - $220,300, potentially scalable based on experience, qualifications, and location. Additional benefits may include equity, bonuses, 401(k), medical, dental, vision, and wellness stipends.

Key skills/competency

  • Data Analysis
  • SQL
  • Python
  • Data Visualization
  • Data Pipelines
  • Business Intelligence
  • Statistical Analysis
  • Dashboarding
  • Data Storytelling
  • Collaboration

How to Get Hired at Stripe

🎯 Tips for Getting Hired

  • Research Stripe's culture: Study Stripe's mission and team values.
  • Customize your resume: Highlight SQL, Python, and data skills.
  • Showcase projects: Demonstrate data pipelines and visualization work.
  • Prepare for interviews: Practice behavioral and technical questions.

📝 Interview Preparation Advice

Technical Preparation

Review SQL query optimization techniques.
Practice Python data analysis libraries.
Study scalable data pipeline designs.
Refresh knowledge on data visualization tools.

Behavioral Questions

Describe a multi-project challenge you managed.
Explain how you communicate complex insights.
Discuss a time you collaborated across teams.
Share an experience driving data-based change.

Frequently Asked Questions