What you'll doYou'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 areWe'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.
- 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
