Data Analyst

Company: Stripe
Location: Chicago
Posted on: June 1, 2025

Job Description:

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 teamOur team is a part of Strategy & Analytics (S&A), which maximizes and accelerates Operations' ability to make Stripe work for our users. We work cross-functionally with global teams to help run the day-to-day business, taking a data-driven approach that combines strategy and analytics to help Ops leaders solve their most complex and most important issues while also driving the business planning and operational cadence end-to-end, from strategy to goal-setting to execution.What you'll doWe are seeking a Data Analyst to drive and enable business performance in Ops' Strategy & Analytics team. In this role, you will be a critical partner in driving data-driven decision making across Stripe Operations. You'll work closely with cross-functional, technical stakeholders to identify and address their most impactful challenges using data and analyses. You'll own the development and implementation of experiments, key metrics, ML models, and data pipelines, ensuring the foundational systems in Stripe Operations are robust, high-quality, and reliable. You'll work hand-in-hand with partner teams in Data Science, Product, and Engineering to implement data-driven solutions that optimize our processes and tools. Acting as a technical expert and bridge between the Strategy and Analytics team and our operational partners, you'll champion the use of data to inform high-impact projects and initiatives.If you are incessantly curious, eager to solve big data challenges, relentless, passionate about helping users, and interested in diving into a quickly-growing team and company, we want to hear from you.Responsibilities

• Work closely with cross-functional, technical stakeholders - helping them identify and address their most impactful challenges with data and analyses
  
• Own the development and implementation of Operations metrics, pipelines & data sources
  
• Incubate machine learning models, and partner with Data Science for their productionization
  
• Partner with Operations and Engineering teams on the implementation of high impact data projects, championing data driven decision making
  Who you areWe'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.
  • 5+ years of experience in analytical roles
    
  • Mastery of SQL and a strong understanding of data relationships / relational databases, experience working with large datasets.
    
  • Proficiency in Scala, Python, or another programming language
    
  • Strong statistical knowledge
    
  • Proven skills in A/B testing, experiment set-up, and analysis
    
  • Experience with applied machine learning techniques
    
  • Expertise using data insights to drive business and operational goals - outstanding analytical ability, communication, and presentation skills
    
  • Proven ability to manage and deliver on multiple projects with great attention to detail
    
  • Comfortable collaborating across functions to identify data analytics problems and execute solutions with technical rigor and data-driven insights.
    Preferred qualifications
    • Prior experience at a growth stage internet or software company.
      
    • Experience with Git or similar
      
    • Experience with Scala Spark
      
    • Experience with Airflow
      
    • Experience with distributed data frameworks like Hadoop and Spark to write and debug data pipelines.
      
    • Good understanding of development processes and best practices like engineering standards, code reviews, and testing.
      
    • Experience working in fast-paced environments
      
    • Experience in people management or project management of cross-functional projects
      Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams.The annual US base salary range for this role is $121,800 - $182,700. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate's experience, qualifications, and location. Applicants interested in this role and who are not located in the US may request the annual salary range for their location during the interview process.Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends.At Stripe, we're looking for people with passion, grit, and integrity. You're encouraged to apply even if your experience doesn't precisely match the job description. Your skills and passion will stand out-and set you apart-especially if your career has taken some extraordinary twists and turns. At Stripe, we welcome diverse perspectives and people who think rigorously and aren't afraid to challenge assumptions. Join us.
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Keywords: Stripe, Oak Park , Data Analyst, Professions , Chicago, Illinois