Analyst — Payoneer
ISRAEL · ANALYTICS FOR COMPLIANCE, RISK, FRAUD & COMPLIANCE REVIEW · GLOBAL PAYMENTS
- Designed and delivered enterprise Power BI dashboards used by Compliance Operations leadership to monitor SLA adherence, queue performance, case volumes, payment investigations, and operational efficiency across global teams.
- Designed analytical datasets and data marts in Google BigQuery, integrating CRM, payments, and compliance systems (ORN, SmartQ) to support both operational reporting and ad-hoc investigations.
- Developed complex SQL transformations powering operational analytics, SLA measurement, payment investigations, and risk-monitoring use cases across large-scale datasets.
- Rebuilt legacy SLA calculation logic — correcting interval-calculation defects, queue-transition handling, and payment-to-case linkage — measurably improving reporting accuracy and stakeholder trust.
- Led analytical investigations across KYC, AML, fraud, and payment-operations workflows, including root-cause analysis of SLA breaches and queue bottlenecks.
- Partnered with Compliance, Fraud, Product, and Data stakeholders to translate business requirements into reporting frameworks; presented findings and methodology changes to leadership.
Engineer — VTB
MOSCOW · AUTOMATION, INTEGRATION & CAPACITY MANAGEMENT
- Migrated legacy data-engineering codebase from Windows to Linux, improving system performance and scalability by ~30%.
- Built and maintained ETL pipelines in Python and SQL, streamlining data collection, storage, and analysis across large datasets.
- Designed automated document workflows in Jira and Confluence, cutting project-management overhead by ~20%.
- Developed Power BI and Superset dashboards for capacity management, improving operational decision-making.
- Worked with PostgreSQL, Apache Spark, and Python for large-scale data processing.