Data Analyst

Overview

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.

Key Responsibilities

• Own ad-hoc analytical requests within a defined scope, delivering fast, reliable, and well-documented outputs.
• Translate business and product questions into clear analytical goals, queries, metrics, and KPIs.
• Build and maintain dashboards, visualizations, and alerts that enable self-service decision-making.
• Optimize SQL queries and data processing in BigQuery for performance and cost.
• Design and maintain scalable data layers and models in BigQuery to support AI agents, self-service BI, and product/operational monitoring.
• Lead end-to-end analytical workflows: scoping, extraction, analysis, validation, and presentation.
• Monitor key processes and metrics, proactively surfacing anomalies and opportunities.
• Collaborate with Product, Data Engineering, and business teams on tracking, data contracts, and data quality, ensuring consistent, well-documented data.
  
  

• 2–4 years as a Product/Data/Business Analyst (fintech a plus) and a relevant bachelor’s degree.
• Strong SQL with hands-on BigQuery experience, including optimizing complex queries and data processing.
• Experience designing analytics data models/layers and working with large, event-level datasets.
• Proficient in BI and visualization tools (e.g., Looker, Power BI, Tableau) and building stakeholder-facing dashboards.
• Proven ability to define/track KPIs, translate ambiguous business questions into structured analysis, and communicate insights clearly.
• Interest or experience in building data foundations for AI-driven and self-service analytics; Python is a plus.
  
  

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.