Fraud Data Mining Specialist

Responsibilities

• Maintain, run, and improve automated KPI and trend analysis reporting to flag issues to stakeholders
• Build and manage a suite of reports to highlight exceptions or breaches using SAP and IntelliQ
• Support regional Asset and Profit Protection (APP) with evidence gathering during investigations
• Perform system maintenance, including monitoring daily data loads, weekly gap analysis, and troubleshooting data streams
• Maintain the APP Operations database, ensuring store master and HR data remain up to date
• Provide regular reporting across Store KPIs, Adjustments, Incidents, Digital Fraud, AML, and Retail Operations
• Support biannual stock loss reporting through data cleansing and analysis
• Provide ad hoc support to the Digital Fraud team regarding chargebacks

Requirements

• Mandatory experience with IntelliQ or similar data mining systems
• Proven experience in retail fraud prevention
• Experience with retail chargeback processing
• Advanced proficiency in Microsoft Excel and the Office 365 Suite
• Strong technical skills in SQL, Microsoft Access, and Power BI
• Experience working with SAP
• Experience using Power Platform

About the Company

Burberry is a purposeful, values-driven luxury brand that believes creativity opens spaces. Since its founding in 1856, Burberry has aimed to unlock the power of imagination to push boundaries and create new possibilities for customers and communities worldwide.