Analytics Engineer
Salary
$124,600 - $187,000
Location
Seattle, WA
Posted
Today
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.
Minimum requirements
- 7+ years experience in Analytics, Business Intelligence Engineering, Data Science or Technical Customer Advisory roles.
- 4+ years experience with SQL and Python.
- Working understanding of code development processes and best practices s.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.
- Familiarity with the payments ecosystem and how merchants optimize payment processing (e.g., conversion, authorization rates, authentication success rates, transaction fraud, and network costs
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