Role At A Glance Paystand is seeking a Business Operations Analyst, AI Enablement & Payments Strategy to 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. Key Responsibilities 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. Qualifications 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. Strong analytical and quantitative problem‑solving skills. Ability to turn business questions into dashboards, models, workflows, and clear recommendations. Ability to communicate insights clearly to technical and non‑technical stakeholders, including leadership audiences. 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. Nice to have 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. Experience using AI tools, LLMs, anomaly detection, predictive modeling, or workflow automation. Understanding of unit economics, vendor cost models, payment routing, settlement, reconciliation, or processor performance. Interest in building lightweight internal tools, automations, or decision‑support workflows. Perks & Benefits Enjoy generous PTO and sick leave. Fuel your days with free snacks and paid lunches in the office. We've got your health covered with Major Medical Health Insurance. Stay nourished with food vouchers and plan for your future with savings funds. Unlock stock options and own a piece of our success! Work with the best tools and equipment, setting you up to thrive. And the best part? Endless growth opportunities await you as we rapidly expand. We celebrate the belief that diversity in backgrounds and thoughts fuels better problem‑solving and fosters more creative thinking. Our commitment to adding new perspectives to the team reflects our dedication to innovation and inclusivity. All roles are on‑site only. Only English resumes will be considered. #J-18808-Ljbffr