Paystand2mo ago

Business Operations Analyst

Mexico·Guadalajaramid

OperationsOperations Analyst

2 views0 saves0 applied

Apply Now

Quick Summary

Overview

At Paystand, we’re not just another fintech company—we’re trailblazers in decentralized finance (DeFi), transforming how businesses manage their finances.

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.

Requirements Summary

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,…

Technical Tools

lookermetabasepower-bipythonsqltableaub2bfintechsaas

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.

About the Role

~1 min read

Paystand is hiring an analyst to build the operational intelligence layer behind our payments business. You'll own dashboards, models, reporting workflows, and AI-enabled tooling that give leadership clear visibility into payment performance, margin trends, vendor costs, and operational risk. This role sits at the intersection of payments analytics, business operations, and automation, and connects directly to revenue operations and strategic decisions.

This is not an AI engineering role. It's for someone who thinks in systems, learns fast, and uses modern tools to produce sharper, faster, more repeatable analysis.

Responsibilities

~1 min read

Build and maintain dashboards and KPI frameworks covering margin, success rates, vendor costs, routing performance, pricing, and exceptions. Develop forecasting models and scenario analyses around vendor changes, processor decisions, pricing, and operational improvements. Identify recurring reporting and reconciliation tasks that can be automated or templated. Use AI-assisted tools to accelerate analysis, surface anomalies, and generate reliable business insights. Partner with Data Engineering, Finance, Product, and Payments teams to improve data quality and metric definitions. Document methodologies and model logic so insights become repeatable operating infrastructure.

2 to 5 years in business operations, analytics, finance, strategy, payments, fintech, or SaaS. Strong SQL skills and experience with large datasets. Hands-on with BI tools such as Looker, Metabase, Tableau, or Power BI. Ability to translate ambiguous business questions into clear analysis and executive-ready recommendations. Strong communication skills across technical and non-technical audiences. Genuine curiosity about how data, automation, and AI can reduce manual overhead and improve decision-making. Professional fluency in Spanish and English. Bachelor's degree in Data Science, Industrial Engineering, Economics, Finance, Computer Science, Business, or a related field.

Nice to Have

~1 min read

Python, R, or scripting experience. Familiarity with payments concepts: routing, settlement, reconciliation, processor economics, or unit economics. Experience with LLMs, anomaly detection, or workflow automation tools.

Leadership has trusted, real-time visibility into payment and business performance. Manual reporting is reduced through automation and better workflows. The Payments Strategy and Revenue Operations teams can spot margin opportunities and anomalies faster. You grow from analytics support into a strategic operating partner.