Ops Data Analyst

About Payoneer Founded in 2005, Payoneer is the global financial platform that removes friction from doing business across borders, with a mission to connect the world’s underserved businesses to a rising global economy. We’re a community with over 2,500 colleagues all over the world, working to serve customers, and partners in over 190 countries and territories. By taking the complexity out of the financial workflows–including everything from global payments and compliance to multi-currency and workforce management, to providing working capital and business intelligence–we give businesses the tools they need to work efficiently worldwide and grow with confidence. Role summary Location-Guangzhou On-site Full-time As an Ops Data Analyst, you will convert operational data into actionable insights to improve service performance, control quality, and customer experience across cross-border payment operations. The role partners closely with Operations, Risk, Compliance, Product, and Engineering teams to build metric frameworks, monitoring mechanisms, and analytical models that support both daily decision-making and long-term optimization. What you’ll do Analyze operational data across ticketing workflows, payment journeys, onboarding/KYC review, and post-event handling to identify bottlenecks, control gaps, and service improvement opportunities. Build and maintain unified Ops dashboards including SLA attainment, turnaround time, review conversion, and other control-effectiveness indicators; provide regular analyses to support both risk control and business decisions. Conduct deep-dive analyses on case handling efficiency, risk rule performance, and customer impact; provide actionable recommendations to optimize operational processes. Partner with Operations, Risk, Compliance, Product, and Engineering teams to define metric standards, strengthen data quality and tracking coverage, and establish consistent reporting cadence for weekly/monthly reviews. Prepare various operational reports to support daily data needs, audits, and regulatory reviews. Proactively monitor anomalies in operational indicators, escalate emerging issues in a timely manner, and provide root-cause hypotheses with practical remediation plans. Who you are 3+ years of experience in data analytics, business analytics, operations analytics, or risk analytics, preferably in payments, fintech, e-commerce, or financial services. Bachelor’s degree or above in Statistics, Mathematics, Computer Science, Data Science, Economics, or related fields. Strong SQL and advanced Excel skills; hands-on experience with Python (Pandas/NumPy/visualization) is preferred. Experience with BI tools (e.g., Tableau, Power BI, Looker) and building stakeholder-facing dashboards. Good understanding of cross-border payment business models, transaction risk characteristics, and regulatory requirements is a strong advantage. Strong analytical thinking and communication skills; able to present complex findings to business and technical stakeholders clearly. Detail-oriented, ownership-driven, and comfortable working across Operations, Risk, Compliance, and Product functions. Working proficiency in English (reading/writing). The Payoneer Ways of Working Act as our customer’s partner on the inside Learning what they need and creating what will help them go further. Do it. Own it. Being fearlessly accountable in everything we do. Continuously improve Always striving for a higher standard than our last. Build each other up Helping each other grow, as professionals and people. If this sounds like a business, a community, and a mission you want to be part of, apply today. We are committed to providing a diverse and inclusive workplace. Payoneer is an equal opportunity employer, and all qualified applicants will receive consideration for employment no matter your race, color, ancestry, religion, sex, sexual orientation, gender identity, national origin, age, disability status, protected veteran status, or any other characteristic protected by law. If you require reasonable accommodation at any stage of the hiring process, please speak to the recruiter managing the role for any adjustments. Decisions about requests for reasonable accommodation are made on a case-by-case basis.