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Payoneer

Posted 9 Sep 2026

Product Analyst

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Team
Data & Analytics
Posted
9 Sep 2026

About the role

Role summary: 

We are seeking a talented Product Analyst to work closely with product team and the local Data Manager in India, providing analytical support across the product lifecycle – from discovery and analysis to monitoring and optimization. You will help drive data-informed decision-making by analyzing user behavior, tracking product performance, and identifying opportunities for improvement. This is an excellent opportunity for a data-driven individual looking to grow their product analytics skills in a dynamic, cross-functional environment. 

What you’ll do:

  • Act as the embedded analytics partner for product managers from ideation through discovery, research, planning, execution, and launch.
  • Analyze user behavior, product usage, and performance metrics to identify trends and opportunities.
  • 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 alerts 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.
  • Drive process improvements and leverage automation, AI tools, and data agents to streamline analytical workflows and scale insights generation.

Who you are?

  • Minimum of 3 years of experience as a business or product analyst (financial services is an advantage).
  • Bachelor’s degree in business, economics, industrial engineering, or a related field.
  • Strong analytical skills with experience in SQL and Vizualization tools (Power BI, Looker, etc).
  • Experience with AI tools and a hands-on approach to leveraging tools such as Cursor and/or Claude Code to improve analytical workflows.
  • 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 strong business acumen and product intuition.
  • Independent yet strong team player, highly curious and driven to understand customers.

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