Data Analyst

• Monitor data quality by ensuring accuracy, consistency, and reliability of data across reports and dashboards;
• Build, maintain, and optimize automated reports and Tableau dashboards;
• Identify, investigate, and resolve data discrepancies across data sources and reporting layers.
• Collaborate with analysts and stakeholders to clarify requirements, define success criteria, and ensure correct interpretation of metrics;
• Monitor product and marketing performance, highlighting trends, anomalies, and optimization opportunities;
• Analyze traffic efficiency, including ROI, LTV, and conversion, to support data-driven decision-making;
• Help transform business questions into clear reporting or analytical solutions;
• Improve reporting processes and optimize dashboard performance to enhance efficiency and usability.

• Work with outputs from ML models to maintain and improve fraud prevention decision, balancing detection coverage against false positive rates
• Own the fraud rule lifecycle - designing, testing, and maintaining prevention rules, with a clear view of coverage, false positive trade-offs, and when to retire what's no longer working
• Partner with Fraud Operations to understand emerging abuse patterns and translate operational observations into analytical improvements.
• Design and maintain alerting systems that identify threats early, giving the team time to respond before incidents escalate.
• Forecast fraud losses and chargeback volumes, giving Finance and Risk leadership earlier visibility into projected exposure.
• Define and own the north star metrics and KPIs for fraud prevention, ensuring reporting is clear, owned, and actionable at the executive level.
• Act as the data bridge between Product and the Applied AI team - providing performance feedback that informs model updates and roadmap prioritisation.
• Support the evaluation of third-party fraud prevention providers, bringing data-driven criteria to vendor assessments.
• Collaborate with Data and Analytics Engineering to ensure fraud-related data is tracked, governed, and handled in line with PII requirements.

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Data Analyst

Senior Data Analyst – Fraud Prevention