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 markets.

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

We are looking for a sharp and business-oriented Data Analyst to join our team. In this role, you will lead end-to-end analytical processes and play a key part in transforming data into actionable insights that drive strategic decisions and promote business growth.

Location: Tel Aviv, Israel

Hybrid

Full-time

What you’ll do: 

• Conduct deep-dive data analysis to extract insights that support key business initiatives.
• Provide recommendations based on data to help improve performance and optimize processes.
• Define and monitor KPIs to track progress and identify trends.
• Perform smart monitoring of operational and strategic processes.
• Participate in the development of data infrastructure and analytical models.
• Collaborate with cross-functional teams to understand business needs and translate them into data-driven solutions.
• Clearly communicate analytical findings and insights through presentations, dashboards, and visualizations tailored to various stakeholders
  
  

• At least 3 years of experience as a data or business analyst
• A creative and analytical thinker with a data-driven mindset
• A strong team player with excellent communication and presentation skills
• Building dashboards and reports that drive decision-making
• Contributing to the design of data models and infrastructure
• Working with large datasets using SQL
• Using BI tools (e.g., Tableau, Power BI, Looker) to visualize trends and performance
• Bachelor’s degree in quantitative fields such as Mathematics, Economics, Industrial Engineering, Statistics, or a related discipline
• High-level proficiency in English (written and spoken)