Payments Performance Data Insights Analyst

Reposted 5 Days Ago
2 Locations
In-Office
Mid level
Payments • Software
The Role
The Data Insights Analyst will develop analytics products, maintain analytics assets, and build data pipelines for user insights in payment optimization.
Summary Generated by Built In
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

Data and Insights exists within the Global Payments Performance team and is 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 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 and query banks.
  • 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 datasets.
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
  • 3+ years experience in Analytics, Business Intelligence Engineering, or Technical Customer Advisory roles.
  • Proficiency in SQL, Python and Git.
  • 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
  • Experience partnering with GTM and Sales teams to translate business needs into technical solutions and actionable reporting
  • Working understanding of development processes and best practices like engineering standards, code reviews, and testing.
  • Familiarity with the payments ecosystem and how merchants optimize payment processing (e.g., authorization rates, authentication success rates, managing transaction fraud, and reducing network costs) 
  • Master’s degree in Mathematics, Statistics, Economics, Engineering, or a related technical field.

Top Skills

Python
SQL
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The Company
HQ: Dublin, Dublin
5,360 Employees
Year Founded: 2010

What We Do

Stripe is a technology company that builds economic infrastructure for the internet. Businesses of every size—from new startups to public companies like Salesforce and Facebook—use the company’s software to accept online payments and run technically sophisticated financial operations in more than 100 countries. Stripe helps new companies get started and grow their revenues, and established businesses accelerate into new markets and launch new business models. Over the long term, Stripe aims to increase the GDP of the internet.

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