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Payoneer Business Analyst Manager 
Israel, Center District, Petah Tikva 
816063087

08.04.2024

What’s the job?

  • Design analytical solutions for needs across domains including: Product, Risk, Ops, GTM etc.
  • Be a hands-on manager while also serve as strategic data Focal point
  • Proactively prioritize initiatives and peruse business needle movers alongside ongoing analysis and d2d needs
  • Design data models and lead result driven analytics based on MRS strategy needs: e.g. customer risk scoring model, customers profiling, ops KPIs.
  • Translate research data and findings into actionable and strategic insights using strong storytelling, data visualization, and presentation skills.
  • Enhance MRS data infrastructure, working closely with Data, Product and Tech
  • Promote data driven business thinking and create self-service tools to support employees and managers across the organization.
  • Expand data capabilities to support business decisions by providing accurate and user-friendly data models, insight, reports, and dashboards.
  • Manage, coach, and develop data & analytics team members

Does this sound like you?

  • 5+ years in data analysis experience in Payments Acquiring | Checkout industry | payments risk domain - a must
  • Bachelor’s degree in computer science | Mathematics | Statistics or equivalent fields
  • Proven experience as a people leader – a must
  • Experience working in a global environment – a must
  • Solid experience in : working with complex Data Analytics platforms, and programming languages and tools : BI Tools | writing complex and efficient SQL queries | Google Cloud Big Query | working with “large” data sets
  • Excellent English level- a must
  • Experience with building visualizations and reports.
  • Present and communicate business insights with Stakeholders
  • A problem solver, experienced working under pressure
  • Ability to cope with changing requirements and levels of uncertainty in a fast-paced environment.

Not a must but a great advantage

  • Experience with building data models
  • Experience with Looker
  • Experience working with Python
  • Experience working with Power BI