About the position
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. Our 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.
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
Requirements
- 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.
Nice-to-haves
- 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
