At a Glance
- Tasks: Provide data analytics and gap analysis across multiple departments to highlight compliance risks.
- Company: Burberry is a luxury fashion brand known for its iconic trench coats and distinctive tartan pattern.
- Benefits: The role offers opportunities to support investigations and develop training materials for the APP team.
- Other info: The position involves maintaining the APP Operations database and supporting various reporting tasks.
- Why this job: Join Burberry to enhance your skills in data mining and fraud prevention within a prestigious retail environment.
- Qualifications: Essential experience with IntelliQ, SQL, and advanced Excel is required for this role.
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
Burberry, located in London, offers a dynamic work environment focused on luxury fashion. Employees benefit from opportunities to engage in innovative data analytics while contributing to fraud prevention efforts. The team values collaboration and continuous improvement in compliance processes.
We think you need these skills to ace Burberry Fraud Data Mining Specialist
Data Analytics
Gap Analysis
KPI Reporting
Trend Analysis
SAP
IntelliQ
SQL
