What you'll do In this role, you'll spearhead innovation by identifying transformative opportunities and developing scalable data solutions. You'll optimize data infrastructure and align initiatives with strategic goals, fostering collaboration across teams. By promoting a data-driven culture and building strong partnerships, you'll ensure sustainable growth and informed decision-making throughout the Customer Success and Paid Support Organization. You're also instrumental in building datasets and tools that enable externally facing Stripe employees to deliver tailored content to their customers. Responsibilities Identify and scope new opportunities, processes, and projects that have team-level impact Create reusable data products (dashboards, data models, code) that set high standards for future projects and for other analysts across the organization Assist in developing the team's data pipelines and performance workbooks by leveraging both your expertise in payments and technical skills. This involves building metrics pipelines, writing code, and being proficient with SQL Set priorities for the Customer Success team's technical and data opportunities, secure partner buy-in, and manage reprioritization as needed Develop vertical agents that solve the Customer Success teams' most manual or repetitive tasks Maintain analytics assets owned by the team, such as metric definitions, technical documentation, query libraries, and other tooling Act as a resource to the team and broader business on the technical complexity of Customer Success datasets, communicating concepts clearly to cross-functional partners and stakeholders 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 3–8+ years of experience in Data Analysis, Business Intelligence Engineering, or Technical Customer Advisory roles Expertise in data visualization and using data insights to make recommendations Comfortable collaborating across functions to identify data analytics problems and execute solutions with technical rigor and data-driven insights Familiarity with card payments ecosystem Proven ability to manage multiple projects, communicate results clearly to diverse stakeholders, and drive business outcomes independently in a fast-moving environment Preferred qualifications Proficiency in SQL (advanced), Python, and git (intermediate) Data visualization, dashboard building, modeling, and reporting automation In-office expectations Office-assigned Stripes in most of our locations are currently expected to spend at least 50% of the time in a given month in their local office or with users. This expectation may vary depending on role, team and location. For example, Stripes in Stripe Delivery Center roles in Mexico City, Mexico, Bengaluru, India, and Dublin, Ireland work 100% from the office. Also, some teams have greater in-office attendance requirements, to appropriately support our users and workflows, which the hiring manager will discuss. This approach helps strike a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility when possible. Pay and benefits Stripe does not yet include pay ranges in job postings in every country. Stripe strongly values pay transparency and is working toward pay transparency globally.

About Stripe

Stripe builds programmable financial services. 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. Headquartered in San Francisco and Dublin, the company aims to increase the GDP of the internet.