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.

What you’ll be investing your time on:  

• Module row data into data warehouse tables according to Payoneer data modeling roles and practices.
• Design data models and lead result driven analytics process based on Checkout strategy needs: such as customer risk scoring model, customers profiling and segmentation models, etc.
•  Work with stakeholders in the company, such as GTM, Strategy., Risk, Operations, Product, Tech for their data needs collection and prioritization.
• Work with Payoneer central data team and with Checkout data foundation team to define the Checkout data roadmap and deliverable. Create a process to track progress and timeline, while providing visibility to the different stakeholders.
• Design analytical solutions for a wide range of Checkout org needs.
• Expand data capabilities to support business decisions by providing accurate and user-friendly data models, insight, reports, and dashboards.
• Built a process to support new initiatives go/ no go decision process.
• Built an infrastructure to support market research and competitor analysis for benchmarking needs.
• Be a hands-on manager while also being a strategic leader and bringing value to the Checkout organization.
• Create internal documentation and glossaries of Checkout data structure and measurements.
• Promote data driven business thinking and create self-service tools to support employees and managers across the organization.

Have you done this kind of stuff?  

• 5+ years in data analysis experience in Payments Acquiring/ Checkout industry - a must
• Experience working with complex B Analytics platforms, and programming languages: Power BI, SQL queries, Google Big Query.
• Experience working in a global environment – a must
• Experience managing relationships with company executives and leading initiatives to support data driven business decisions.
• Bachelor's Degree in Computer Science, Mathematics, Statistics, or equivalent fields
• Deep understanding of the Data Analytics landscape. Monitor industry trends and implement best-in-class analytical concepts and data models
• Present and communicate business insights and data trends in meetings with senior leaders across the organization
• Well organized, energetic and hands on individual with a can-do approach
• A problem solver, experienced working under pressure
• Ability to cope with changing requirements and levels of uncertainty in a fast-paced environment
• Excellent English level
• Experience with building data models

#LI-MI1

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. 

Continuously improve Always striving for a higher standard than our last. 

Do it. Own it. Being fearlessly accountable in everything we do. 

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, click now to apply. 

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.