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Mid LevelFull-timePythonData ScienceGo
Salary Range
$80,750 - $109,250 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for an Ops Data Analyst to join Payoneer, a global financial platform that connects businesses across borders. This role focuses on converting operational data into actionable insights to improve service performance and customer experience in cross-border payment operations.
Key Responsibilities
- →Analyze operational data across ticketing workflows, payment journeys, onboarding/KYC review, and post-event handling to identify bottlenecks and service improvement opportunities.
- →Build and maintain unified Ops dashboards including SLA attainment, turnaround time, and review conversion indicators.
- →Conduct deep-dive analyses on case handling efficiency, risk rule performance, and customer impact.
- →Partner with Operations, Risk, Compliance, Product, and Engineering teams to define metric standards and strengthen data quality.
- →Prepare various operational reports to support daily data needs, audits, and regulatory reviews.
- →Proactively monitor anomalies in operational indicators and escalate emerging issues.
Requirements
- ✓3+ years of experience in data analytics, business analytics, operations analytics, or risk analytics, preferably in payments, fintech, e-commerce, or financial services.
- ✓Bachelor’s degree or above in Statistics, Mathematics, Computer Science, Data Science, Economics, or related fields.
- ✓Strong SQL and advanced Excel skills; hands-on experience with Python (Pandas/NumPy/visualization) is preferred.
- ✓Experience with BI tools (e.g., Tableau, Power BI, Looker) and building stakeholder-facing dashboards.
- ✓Good understanding of cross-border payment business models, transaction risk characteristics, and regulatory requirements.
- ✓Strong analytical thinking and communication skills.
- ✓Detail-oriented, ownership-driven, and comfortable working across multiple functions.
- ✓Working proficiency in English (reading/writing).
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