Data Analyst
Payoneer Global Inc - Madrid, Spain
Posted Apr 15, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Salary
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Schedule
- Shift type
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- Weekend work
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Application
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- Assessment
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- Deadline
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Where they hire
State eligibility is not yet verified.
About this role
Data Analyst Madrid, Spain 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 As a Compliance Data Analyst at Payoneer, you will play a key role in supporting Compliance Office, Compliance Operations, and Compliance Strategy teams to support reporting, alert management, and performance measurement. teams with data-driven insights that influence strategic decisions. You will act as a strong data partner, working to provide accurate and actionable reporting to various stakeholders across the organization.ç What You'll Do - Provide insights to stakeholders such as Compliance Office, ML, Compliance Operations, and Compliance Strategy teams to support data-driven compliance decisions. - Use SQL and Excel to analyze complex datasets and present findings clearly and effectively. - Build dashboards and reports using BI tools to monitor compliance trends. - Support strategic initiatives by ensuring data is accessible, consistent, and accurate. - Handle multiple incoming data requests and break down complex problems into smaller, actionable tasks. - Work cross-functionally with Product and Data teams to
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