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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:We're looking for a Senior Business Analyst to lead the data domain within our Working Capital Business unit - a high-impact, fast-moving team that operates like a startup within a global company.
This is a unique opportunity for a hands-on, strategic thinker to take full ownership of our data domain: from defining and executing our data strategy, to building advanced risk models and scalable infrastructure - while leading the data domain in a matrixed structure that includes a business analyst and a data engineer.
The ideal candidate brings a strong analytical mindset, experience in data modeling, and a proven ability to turn complex datasets into actionable insights that shape business strategy. They also possess the skills to design and build scalable data infrastructure, along with strong teamwork and leadership capabilities in a cross-functional environment.
What
you’ll do:- Own and lead the data domain within the Working Capital unit, including analytics, modeling, and infrastructure.
- Design, develop, and maintain our risk scoring model - a core component of the product used to assess credit risk.
- Develop, refine, and maintain dashboards, reports, and visualizations to monitor key KPIs.
- Conduct in-depth analysis to uncover trends and deliver strategic, actionable insights for all business domains (Risk, Growth, and Ops).
- Guide and mentor analysts, fostering a high standard of analytical thinking and execution.
- Partner with cross-functional teams (RevOps, Marketing, finance, operations, etc.) to enhance the data infrastructure supporting the Working Capital business.
Who you are:
- 5+ Years of experience in business intelligence, data analysis, or a related field, ideally within a tech-based company or financial products company.
- Strong proficiency in SQL for data exploration and transformation. Experience with BI tools such as Tableau, Power BI, or Looker for dashboarding and data visualization.
- Hands-on experience in data modeling - designing, building, and maintaining analytical models that support decision-making and operational use cases.
- Excellent communication and presentation skills, with the ability to convey complex analytical concepts to non-technical stakeholders.
- Strong leadership skills to drive and lead cross-functional initiatives.
- High energy level, with a bias for action and accountability.
#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.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.
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