Business Operations Analyst/ Business Analyst/Operations Analyst

At Paystand, we're not just another fintech company—we're trailblazers in decentralized finance (DeFi), transforming how businesses manage their finances. With thriving hubs in Santa Cruz, San Francisco, Austin, Minneapolis, Mexico City, Hermosillo, and Guadalajara, we're leading a global revolution in financial systems. 5000 list for five consecutive years, we're among the fastest-growing companies reshaping the future of finance. Paystand isn't just a company—it's a growing global network. With the strategic acquisitions of Teampay, a leader in spend management, and Yaydoo, a top AR and AP platform in Latin America, we're building an expansive ecosystem designed to revolutionize financial operations and fuel business growth worldwide. What We Do: By harnessing the power of blockchain technology, we digitize receivables, automate financial processes, reduce time-to-cash, lower transaction costs, and unlock new revenue streams for businesses. Why We Do It: We're driven by a mission to revolutionize digital payments and decentralize finance, creating a more open, inclusive, and transparent financial ecosystem, starting with B2B payments. If you're passionate about shaping the future of fintech and eager to redefine what financial technology should look like, Paystand is the place where you can make a significant impact. Business Operations Analyst, AI Enablement & Payments Strategy to help build and strengthen the operational intelligence layer behind our payments business. This role sits at the intersection of business operations, payments analytics, workflow automation, and AI-enabled tooling, helping improve how we monitor performance, generate insights, and support decision-making. In this role, you will build dashboards, models, reporting systems, and analytical workflows that give leadership clearer visibility into payment performance, margin trends, vendor efficiency, operational risk, pricing dynamics, and opportunities to scale. Because this team supports both payments strategy and revenue operations, this role will help connect payment performance to broader business and commercial decisions, not just payment operations alone. This is a strong fit for someone who is analytical, curious, comfortable working with data, and excited

about us
ing automation and AI tools in practical ways to help a business run better. Build and maintain dashboards that track key payment and operating KPIs, including margin, success rates, vendor costs, latency, volume, routing performance, and exceptions. Analyze payment and operational data to identify performance issues, cost inefficiencies, vendor underperformance, and margin improvement opportunities. Develop reporting frameworks and models that help leadership understand payment economics, pricing implications, operational risk, and overall business performance. Partner with Data Engineering, Product, Finance, and Payments stakeholders to improve data quality, metric definitions, and reporting logic. Translate complex data into clear insights, recommendations, and executive-ready analysis for business reviews and decision-making. Build repeatable workflows for monitoring performance, surfacing anomalies, summarizing trends, and improving how recurring analysis gets done. Use AI-enabled tools, prompts, templates, and lightweight automations to improve the speed, consistency, and quality of reporting, research, and documentation. Document methodologies, assumptions, and metric definitions to keep reporting and analysis reliable, scalable, and easy to maintain. Support scenario analysis and quantify the business impact of vendor changes, routing decisions, operational improvements, and related pricing or margin decisions. 2 to 5 years of experience in business operations, analytics, finance, strategy, payments, fintech, SaaS, or another data-focused environment Strong SQL skills and experience working with large datasets Experience with BI tools such as Looker, Metabase, Tableau, Power BI, or similar platforms Ability to turn business questions into dashboards, models, workflows, and clear recommendations Strong business judgment and interest in how payments, pricing, revenue operations, and process design affect revenue, margin, operations, and customer experience Curiosity about how data, automation, and AI can improve team performance and decision-making Professional fluency in Spanish and English, both written and spoken Bachelor's degree in Data Science, Industrial Engineering, Economics, Finance, Computer Science, Business, or a related analytical field Experience in fintech, payments, banking, treasury, SaaS, or other transaction-based business models. Familiarity with Python, R, APIs, or scripting tools used for automation or analysis. Understanding of unit economics, vendor cost models, payment routing, settlement, reconciliation, or processor performance. Fuel your days wit