Business Operations Analyst

Paystand; Ciudad de México; Presencial; MXN 420.000 - 660.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Generous PTO

Paid lunches

Health insurance

Food vouchers

Savings funds

Stock options

Great tools & equipment

Growth opportunities

Descripción de la vacante

Paystand is seeking a Business Operations Analyst, AI Enablement & Payments Strategy to strengthen the operational intelligence layer behind our payments business. The role sits at the intersection of business operations, payments analytics, workflow automation, and AI-enabled tooling, helping monitor performance, generate insights, and support decision-making.

Responsibilities include building dashboards, analyzing payment data, developing reporting frameworks, and partnering with

Formación

• 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

Responsabilidades

• 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.

Conocimientos

SQL & Data

BI Tools

Analytical Thinking

Stakeholder Communication

AI Interest

Bilingual Spanish/English

Data Visualization

Educación

Bachelor's degree in Data Science/Engineering/ Economics/ Finance/ CS/ Business

Herramientas

Looker

Metabase

Tableau

Power BI

Descripción del empleo

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. Recognized on the Inc. 5000 list for five consecutive years, we’re among the fastest-growing companies reshaping the future of finance.

Our Expanding Ecosystem:

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.

Why Paystand?

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.

How We Do It:

As change-makers in the DeFi movement, we don’t just follow trends—we set them. 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.

Join Us: Be part of something bigger. Join Paystand and help us lead the financial revolution.

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.

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, because we believe in balance.
• 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 understand that no candidate is perfectly qualified for any job. Experience manifests in diverse ways, skills are transferable, and passion is a powerful driver. Your journey and skills are unique, and we value the richness that diverse perspectives bring to our team.

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.

Your journey is important to us, and we look forward to the possibility of welcoming you to our team at Paystand.

All roles are on-site only. Only English resumes will be considered.