Analytics Engineer

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 The Global Payments Performance Team are Stripe’s foremost payments experts, identifying payment optimization opportunities for Stripe’s users. We serve a critical role both in demonstrating thought leadership on challenging payment topics and partnering with our high-potential merchants to set them up for long term success.

We make payments performance a competitive advantage for our users, large and small, by providing them with best-in-class technology in concert with insightful and specific advice on how to harness this technology to achieve their business goals.

What you’ll do You’ll be embedded directly within the Global Payments Performance team, and responsible for data & tooling used by the team and our stakeholders. You will be instrumental in scaling the subject matter expertise of the team’s payments domain experts - building datasets, agents, and tools that enable Stripes to deliver tailored, expert level content to their customers.

Responsibilities Develop analytics products, dashboards, and tools that GTM leverages to deliver expert level payment optimization sessions to Stripe customers. Maintain analytics assets owned by the team, such as metric definitions, technical documentation, vertical agents and query repositories. Build data pipelines that power our user insights.

Act as a resource to the team communicating the nuance and technical complexity of payments performance adjacent data. 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 7+ years experience in Analytics, Business Intelligence Engineering, Data Science or Technical Customer Advisory roles. 4+ years experience with SQL and Python. a. git, code reviews, and testing. Expertise in data visualization and using data insights to make recommendations. Proven ability to manage and deliver on multiple projects with great attention to detail.

Ability to clearly communicate results and drive impact. Preferred qualifications Degree in Mathematics, Statistics, Economics, Engineering, or a related technical field.