Payoneer is hiring a
Senior Product Analyst

Summary

Join Payoneer's global community and become a Senior Product Analyst, spearheading data-driven discovery, experimentation, optimization, and go-to-market enablement for new products and features. As the analytics expert, you will provide strategic guidance across departments, leveraging your extensive business analysis background.

Requirements

• Bachelor’s degree in business, industrial engineering, finance, or a related field required - advanced degree preferred
• Minimum of 5 years of experience as a business/product analyst (in financial services industry is an advantage)
• Expertise in data analysis, SQL, statistics, A/B testing, and data visualization tools like Looker, PowerBI, and Amplitude
• Experience with Python for data analysis and reporting is an advantage
• Superb data storytelling ability to influence audiences at all levels, including executive leadership
• Strong understanding of web analytics, tracking plans, and QA of implementation
• Project management skills with the ability to work on multiple priorities concurrently
• Collaborative, proactive mindset with good business acumen and product intuition
• Passion for the fintech industry and driving customer-centric products through data

Responsibilities

• Act as the embedded analytics partner for product managers from ideation through discovery, research, planning, execution, and launch
• Conduct deep-dive analyses to uncover customer needs, validate hypotheses, estimate business impact, and monitor KPIs during all product lifecycle stages
• Design and execute experiments and A/B tests to validate new features
• Analyze results, synthesize insights, and deliver product optimization recommendations
• Build robust, self-serve dashboards, reports, and alerting to track core metrics and enable self-serve data-driven product decisions
• Proactively analyze customer data, usage patterns, and market trends to surface opportunities and potential friction areas
• Partner with data engineering to influence the data platform roadmap based on evolving data needs
• Embrace process improvements and automation by championing new analytics capabilities
• Mentor other Product Analysts