Data Analyst, Payments
Stripe
Singaporeonsitefull timeToday
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.
The Payments organization owns some of Stripe's most critical payment flows and a platform that processes hundreds of billions of dollars in payments a year. Our team is responsible for translating complex partner specifications related to network costs (interchange and scheme fees) into simplified logic for internal and external consumption. This also drives decisions and product recommendations to manage the underlying network costs paid by Stripe and our users. The team partners closely with the engineering, product, finance, and partnership groups to manage and understand Stripe's network costs.
Our work is core to Stripe's business, as Technical Operations roles in Payments are a dynamic and key component of Stripe's success. We sit at the intersection of product and platform engineers and financial partners, connecting them to ensure that everyone thrives and nothing is lost in translation.
We're looking to add payment enthusiasts who enjoy interpreting complex cost structures and ever-changing payment network systems to optimize on behalf of Stripe and our users. You'll be instrumental in building Stripe's approach to managing our global network cost base.
• Collaborate across the company, including engineering, accounting, financial partnerships, and product teams, to analyze billions of dollars moving through the Stripe platform
• Translate network specifications into implementation instructions to create billing models for new and revised fees (both scheme and interchange)
• Influence product strategy to minimize network costs
• Collaborate with Product, Engineering, and Finance to implement cost-saving opportunities, prioritize investment, and explain cost and margin trends
• Monitor and maintain the accuracy of the fees through validation and alerting
• Create fee explainability to internal and external stakeholders and host education sessions for internal teams to scale knowledge
• Introduce data and process efficiencies to meet the scale and speed of Stripe. Identify and automate inefficient operational processes to reduce manual workloads, and scale our network cost operation by driving the design, documentation, and training of operational processes to leverage partner relationships
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.
• Have 4+ years of experience in Payments at a leading technology or payments company, with the ability to write SQL to query relational databases
• Have experience managing communications and workflows with technical and non-technical teams across internal and external stakeholders
• Have experience navigating the nuanced complexity of financial systems and solving large-scale, technical challenges
• Have strong financial modeling and diagnostic skills to investigate, prioritize, and identify the root cause of issues
• Have experience managing multiple, concurrent work streams, identifying and triaging technical issues, and driving solutions with clear metrics to show impact
• Experience working in fast-paced environments (e.g., high-growth fintech or tech company, management consulting)
• Experience mentoring junior team members in technical skill development, operational strategy, and problem solving
• Experience working with PM, Engineers, finance team, or accounting team
• Experience handling tickets and adhering to operational targets and metrics • Experience with visualization tools
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