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 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 do
We 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 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
- 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
