Payoneer

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.

Marketing Analyst

Role summary

Payoneer is seeking a seasoned Marketing Analyst to join our Marketing Analytics team.

The ideal candidate will possess a robust analytical mindset, extensive experience in data analysis, and a proven ability to derive actionable insights from complex datasets.

This role is pivotal in influencing our marketing-retention strategies and enhancing business performance through deep, data-driven analysis.

What you’ll do

• Data Analysis: Conduct in-depth analysis of down of funnel data to uncover trends, patterns, and opportunities for existing self-served customers. Translate these findings into actionable business insights and strategic recommendations for senior management.
• Reporting: Develop, refine, and maintain sophisticated dashboards, reports, and visualizations to monitor KPIs such as retention, onboarding, adoption, customer satisfaction, cost to serve, and ROI.
• Insights Generation: Provide detailed and actionable insights to drive strategic retention decisions. Focus on both proactive and reactive analysis to support continuous improvement and innovation in marketing strategies.
• Collaboration: Partner with cross-functional teams, including marketing, data, sales, finance, and operations, to understand their data needs and deliver tailored analytical support for various marketing initiatives.
• Support: Offer high-level analytical support for strategic retention projects, including customer segmentation, customer journey mapping, and performance optimization.

Who you are

• Education: Bachelor's degree in Business, Economics, Statistics, Computer Science, Industrial Engineering, or a related field. A master's degree is a plus.
• Experience: Minimum of 3+ years of experience in business intelligence, data analysis, or a related field, with a strong preference for candidates with a background in marketing analytics/Sales analytics/Funnel analytics.
• Technical Skills: Proficiency in BI tools (e.g., Tableau, Power BI, Looker) and SQL. Advanced skills in data visualization and experience with event-based tools such as Amplitude and Segment.
• Analytical Skills: Exceptional analytical and problem-solving skills with a demonstrated ability to interpret complex data and generate actionable insights.
• Communication: Excellent communication and presentation skills, with the ability to convey complex analytical concepts to non-technical stakeholders.

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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.