Role At A Glance

Paystand is seeking a 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 using automation and AI tools in practical ways to help a business run better.

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