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 a focus on collaboration and career development.
- Why this job: Make a real impact in fraud prevention while working with cutting-edge data tools.
- Qualifications: Experience with data mining systems and advanced Excel skills are essential.
The predicted salary is between 40000 - 50000 £ per year.
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 utilizing both SAP and IntelliQ.
- Support regional APP with evidence gathering during investigations.
- System maintenance: monitor daily data loads, clear load errors; conduct 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 daily, weekly and monthly reports including Store KPI Reporting, Adjustment Reporting, Incident Reporting, Digital Fraud Reporting, AML Reporting and Retail Operations Exception Reporting.
- Support the team with biannual stock loss reporting: cleanse data, analyze required areas of concern and create store-level posters.
- Provide ad hoc support to the Digital Fraud team with chargebacks.
Essential Qualifications
- Previous experience with IntelliQ or other data mining systems (mandatory).
- Advanced Office 365 Suite skills, particularly Excel.
- Experience in retail fraud prevention.
- Expertise in retail chargeback processing.
- Experience with SQL.
- Experience with Microsoft Access and Power BI.
- Previous experience with SAP.
- Experience using Power Platform.
We think you need these skills to ace Burberry Fraud Data Mining Specialist
Data Analytics
Gap Analysis
KPI Reporting
Trend Analysis
SAP
IntelliQ
SQL
