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

Our goal is to maximise the success of Operations, both in the running the day-to-day business and in shaping and achieving the longer term, high effort, high value strategic priorities. We take a data-driven approach that combines strategy, analytics and core data infrastructure 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 do

We are seeking a Technical Data Analyst to drive and enable business performance in Ops’ Strategy & Analytics Data foundations pillar. ‘Users first’ is Stripe’s first operating principle and in this role you will help us understand the underlying drivers of customer interactions. The ultimate objective is identifying product gaps, improving the quality of our services, and making our operations more efficient. You’ll work cross-functionally with our Data Science to build and measure Machine Learning models and Product Operations teams in creating & maintaining data sources, building routing and case classification systems, and communicating findings.

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, implementation, and maintenance of Operations metrics & data sources
• Partner with Data Science on the creation of machine learning models, feature generation, and ML performance monitoring
• Partner with Operations and Engineering teams on the implementation of high impact data projects, championing data driven decision making

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

• 4+ 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 R, Python, or another statistical programming language
• Practical experience developing and maintaining complex ETL pipelines
• 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

Nice to have

• Experience working in or with Operations, Sales, Support, or Account Management
• Experience with writing and debugging data pipelines using a distributed data framework (Hadoop/Spark/Pig/etc.)
• Experience with Scala
• Experience working in fast-paced environments
• Experience in people management or project management of cross-functional project