Fraud Data Mining Specialist

Fraud Data Mining Specialist

Full-Time 40000 - 50000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Analyse data to identify compliance risks and improve reporting across departments.
  • Company: Join Burberry, a creative brand committed to sustainability and community impact.
  • Benefits: Competitive salary, creative work environment, and opportunities for professional growth.
  • Other info: Dynamic team atmosphere with a focus on creativity and collaboration.
  • Why this job: Make a real difference in fraud prevention while working with innovative data tools.
  • Qualifications: Experience with data mining systems, Excel, SQL, and retail fraud prevention.

The predicted salary is between 40000 - 50000 £ per year.

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

  • 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

Fraud Data Mining Specialist employer: FashionUnited Group

At Burberry, we pride ourselves on fostering a vibrant and inclusive work culture that empowers creativity and innovation. As a Fraud Data Mining Specialist, you will benefit from our commitment to employee growth through continuous learning opportunities and collaboration across diverse teams. Located in the heart of England, our dynamic environment not only champions sustainable luxury but also supports your professional journey with a focus on meaningful contributions to our communities.

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Contact Details:

FashionUnited Group Recruitment Team

We think you need these skills to ace Fraud Data Mining Specialist

Data Analytics
Gap Analysis
KPI Reporting
Trend Analysis
SAP
IntelliQ
SQL