Who we are

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

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 Core 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 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