Fraud Data Mining Specialist

INTRODUCTION

At Burberry, we believe creativity opens spaces. Our purpose is to unlock the power of imagination to push boundaries and open new possibilities for our people, our customers and our communities. This is the core belief that has guided Burberry since it was founded in 1856 and is central to how we operate as a company today.

We aim to provide an environment for creative minds from different backgrounds to thrive, bringing a wide range of skills and experiences to everything we do. As a purposeful, values-driven brand, we are committed to being a force for good in the world as well, creating the next generation of sustainable luxury for customers, driving industry change and championing our communities.

JOB PURPOSE

To provide data analytics and gap analysis of key areas of compliance in the business that would leave us exposed from a risk perspective if not highlighted. This reporting is to be provided across multiple departments within the business.

RESPONSIBILITIES

• Maintain, run and improve automated KPI and trend analysis reporting and flagging relevant issues to key stakeholders.
• Continue to build a suite of reports to highlight exceptions and/or breaches in key areas utilising both SAP and IntelliQ.
• Supporting regional APP with evidence gathering during investigations.
• System Maintenance to include: monitoring daily data loads and clearing of load errors; weekly gap analysis; regular updates of key data streams from HR, product and finance to ensure reporting is accurate and up to date. Troubleshooting as required to fix issues.
• Continue to build a Sharepoint site for the APP team to provide training materials and support for using the system.
• Maintenance of the APP (Asset and Profit Protection) Operations database to include keeping store master and HR data up to date.
• Supporting the wider regional team with a growing list of daily, weekly and monthly reports including :
• Store KPI Reporting, Adjustment Reporting, Incident Reporting, Digital Fraud Reporting, AML Reporting, Retail Operations Exception Reporting.
• Support the team with biannual stock loss reporting to include data cleansing, performing analysis on required areas of concerns and creating store level posters.
• Provide ad hoc support to Digital Fraud team with chargebacks.

PERSONAL PROFILE

Essential

• Previous Experience with IntelliQ or other data mining systems (This is a mandatory requirement for the role)
• Advanced Office 365 Suite, in particular Excel
• Experience in retail fraud prevention
• Retail chargeback processing
• Experience with SQL
• Experience with Microsoft Access and Power BI
• Previous experience with SAP
• Experience using Power Platform