Fraud Data Mining Specialist
Join Burberry in London as a Fraud Data Mining Specialist. Utilize data analytics to enhance compliance and mitigate risk in a dynamic, luxury fashion environment.
Overview
Burberry, a renowned British luxury fashion house established in 1856, is celebrated for its innovation and commitment to sustainability. As part of its corporate affairs, Burberry offers a dynamic work environment that fosters creativity and diversity. The company is dedicated to pioneering sustainable luxury, driving industry change, and empowering communities. Burberry is part of the global luxury conglomerate that values creativity and innovation, providing a platform for professionals to excel and contribute to its legacy of excellence.
Role & Responsibilities
- Maintain, run, and enhance automated KPI and trend analysis reporting, identifying and communicating relevant issues to key stakeholders.
- Develop a comprehensive suite of reports to identify exceptions and breaches in key areas using SAP and IntelliQ.
- Support regional Asset and Profit Protection (APP) with evidence gathering during investigations.
- Oversee system maintenance, including monitoring daily data loads, resolving load errors, conducting weekly gap analysis, and updating key data streams from HR, product, and finance.
- Build and maintain a SharePoint site for the APP team, providing training materials and system support.
- Maintain the APP Operations database, ensuring store master and HR data are current.
- Assist the regional team with daily, weekly, and monthly reports, including Store KPI Reporting, Adjustment Reporting, Incident Reporting, Digital Fraud Reporting, AML Reporting, and Retail Operations Exception Reporting.
- Support biannual stock loss reporting through data cleansing, analysis, and creation of store-level posters.
- Provide ad hoc support to the Digital Fraud team with chargebacks.
Qualifications
- Previous experience with IntelliQ or other data mining systems is mandatory.
- Advanced proficiency in Office 365 Suite, particularly Excel.
- Experience in retail fraud prevention and chargeback processing.
- Proficiency in SQL, Microsoft Access, and Power BI.
- Previous experience with SAP and Power Platform.
Skills
Experience
A minimum of 3-5 years of experience in data mining, retail fraud prevention, and chargeback processing is required.
Benefits
Burberry offers a comprehensive benefits package, including health and wellness programs, employee discounts, and opportunities for professional development.
Culture
Burberry fosters a culture of creativity and innovation, encouraging diverse perspectives and backgrounds to thrive. The company is committed to sustainability and social responsibility, creating an inclusive environment where employees can contribute to meaningful change.