DLP Analyst

As a DLP Analyst at Primark, you will safeguard data by monitoring alerts, investigating incidents, and guiding remediation actions. You’ll partner with Security, IT, and Governance teams to protect information across the enterprise. This hybrid role offers hands-on risk assessment, data classification improvement, and clear reporting to stakeholders. You will help shape data protection practices in a fast-paced, people-first tech culture that values collaboration and continuous improvement.

• Healthcare
• Pension
• Potential bonus
• 27 days of leave plus bank holidays (and option to buy 5 more)
• Tax Saver Tickets
• Fitness centre access or facilities subsidy

• Monitor and investigate DLP alerts to assess risk and determine remediation actions
• Coordinate with Service Desk and support teams to review and unblock restricted emails or uploads while ensuring compliance
• Maintain accurate records of DLP events with auditability and timely documentation
• Produce regular DLP incident reports, trends, and risk exposure for business stakeholders
• Collaborate with cross-functional teams (Security, IT, Data Governance) as a liaison between Operations, Policy Owners, and Platform Owners
• Analyse trend data and recurring issues to recommend improvements and drive data protection process enhancements

• Proven experience in DLP operations, incident management, or information security with strong analytical and investigative capabilities
• Solid understanding of DLP tools, data classification frameworks, and discovery technologies; experience with Collibra is advantageous
• Knowledge of structured and unstructured data protection challenges, data transfers, email security, and endpoint controls
• Strong awareness of DLP policies, enforcement mechanisms, enterprise IT environments, and ticketing systems; understanding of compliance and regulatory requirements
• Excellent stakeholder management and communication skills to coordinate across Operations, Support, and Governance teams
• Highly organized and detail-oriented with ability to manage high-volume workloads (up to 40 hours/week) across investigations and incident coordination

• Stakeholder management
• Clear communication
• Attention to detail
• DLP tools
• Data classification frameworks
• Discovery technologies