At a Glance
- Tasks: Analyse data to identify compliance gaps and improve reporting across departments.
- Company: Join Burberry, a leading luxury fashion brand with a commitment to innovation.
- Benefits: Competitive salary, employee discounts, and opportunities for professional growth.
- Other info: Dynamic team environment with opportunities for career advancement.
- Why this job: Make a real impact in fraud prevention while working with cutting-edge data tools.
- Qualifications: Experience with data mining systems, Excel, SQL, and retail fraud prevention.
The predicted salary is between 40000 - 50000 £ per year.
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 flag 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.
- Support regional APP with evidence gathering during investigations.
- System Maintenance: monitor daily data loads and clear load errors; perform weekly gap analysis; regularly update key data streams from HR, product and finance to ensure reporting is accurate and up-to-date. Troubleshoot 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.
- Maintain the APP (Asset and Profit Protection) Operations database, keeping store master and HR data up to date.
- Support 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, including data cleansing, performing analysis on required areas of concern and creating store-level posters.
- Provide ad-hoc support to the Digital Fraud team with chargebacks.
Personal Profile:
Essential:
- Previous Experience with IntelliQ or other data-mining systems (mandatory requirement)
- 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
Burberry Fraud Data Mining Specialist employer: Burberry Uk
Burberry is an exceptional employer that fosters a dynamic and inclusive work culture, where innovation and collaboration are at the forefront. As a Fraud Data Mining Specialist, you will have access to comprehensive training and development opportunities, enabling you to grow your skills in data analytics within a prestigious global brand. Located in a vibrant city, Burberry offers a unique blend of professional growth and a supportive environment, making it an ideal place for those seeking meaningful and rewarding employment.
