Data Classification & DLP Analyst

Raqami Islamic Digital Bank Ltd.

Karachi Division

On-site

PKR 900,000 - 1,500,000

Full time

10 days ago

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Job summary

Raqami Islamic Digital Bank Ltd. is seeking a Data Classification & DLP Analyst to support the implementation and monitoring of data classification and DLP controls across endpoints, databases, email, file storage, and cloud platforms.

The role focuses on applying classification labels, monitoring DLP alerts, assisting in audits, and promoting secure information handling practices. Candidates with 0–2 years in information security and familiarity with Microsoft Purview and DLP tools are

Qualifications

  • Bachelor’s degree in a relevant field is required.
  • 0-2 years of experience in information security, data classification, or DLP operations preferred.
  • Certifications in Microsoft Information Protection or Purview or CompTIA Security+ are favorable.

Responsibilities

  • Assist in implementing and maintaining data classification policies, standards, and procedures.
  • Support labeling and handling of sensitive information per guidelines.
  • Assist in configuring, testing, and maintaining DLP policies and controls.
  • Identify and classify sensitive data across endpoints, databases, email, and cloud platforms.
  • Monitor DLP alerts, perform initial triage and investigations, and escalate as needed.
  • Review DLP rules, policy exceptions, alert thresholds, and escalation procedures with senior staff.
  • Provide operational support for data protection solutions and documentation.
  • Coordinate with IT and business teams on data protection requirements.
  • Support audits by preparing evidence and information requests.
  • Promote awareness of data classification and DLP across the organization.

Skills

Data classification
DLP monitoring
Audit support
Documentation
Incident investigation
Communication

Education

Bachelor’s degree in Computer Science, Information Technology, Cybersecurity, or related discipline

Tools

Microsoft Purview
Microsoft 365 sensitivity labels
Information protection
DLP platforms

Job description

Job Title: Data Classification & DLP Analyst

Department: Information Security

Job Overview

To support the implementation and monitoring of Data Classification and Data Loss Prevention (DLP) controls to safeguard the organization’s sensitive information across endpoints, databases, email, file storage, and cloud platforms. The role involves applying and maintaining data classification labels, monitoring and investigating DLP alerts, assisting in audits and compliance activities, and promoting secure information handling practices across the organization.

Key Responsibilities
  • Assist in implementing and maintaining data classification policies, standards, and procedures under the guidance of senior team members.
  • Support the administration of data classification labels and help ensure sensitive information is handled appropriately, as per approved guidelines.
  • Support the configuration, testing, and maintenance of Data Loss Prevention (DLP) policies and controls by performing assigned tasks and test scenarios.
  • Assist in identifying and classifying sensitive data across endpoints, databases, email, file storage, and cloud platforms using approved tools and methods.
  • Monitor DLP alerts, perform initial triage and investigation of potential data leakage incidents, and support remediation by escalating cases to senior team members.
  • Support the review of DLP rules, policy exceptions, alert thresholds, and escalation procedures by gathering data, analysing alert trends, and recommending improvements to senior team members.
  • Provide operational support for the implementation, configuration, testing, and maintenance of data protection solutions.
  • Assist in periodic reviews of classification policies and DLP controls by collecting data and preparing review inputs.
  • Coordinate with IT, Information Security, and business teams on routine requests and follow-ups to support the implementation of data protection requirements.
  • Maintain documentation, incident records, reports, and audit evidence related to data classification and DLP, as directed.
  • Support internal and external audits and compliance assessments by preparing and providing requested evidence and information.
  • Help promote awareness of data classification, secure information handling, and data leakage prevention by supporting awareness activities and communications.
Experience & Qualification Required
  • Bachelor’s degree in Computer Science, Information Technology, Cybersecurity, or a related discipline.
  • 0-2 years of relevant experience in information security, data classification, DLP operations, or security monitoring, with practical knowledge of Microsoft 365 sensitivity labels, information protection, and DLP policy management, and experience with DLP or data classification platforms such as Microsoft Purview, Forcepoint, Symantec, or equivalent solutions.
  • Microsoft Information Protection or Microsoft Purview-related certifications; CompTIA Security+ or equivalent information security certification will be preferred.
Skills & Competencies
  • Data classification policies, standards, procedures, and classification label management.
  • Microsoft 365 sensitivity labels, information protection, and DLP policy management.
  • DLP and data classification platforms such as Microsoft Purview, Forcepoint, Symantec, or equivalent solutions.
  • Identification and classification of sensitive data across endpoints, databases, email, file storage, and cloud platforms.
  • DLP alert monitoring, data leakage incident investigation, remediation coordination, and escalation procedures.
  • Documentation, reporting, audit evidence maintenance, and support for audits and compliance assessments.

Raqami Bank is an equal opportunity employer. We welcome applications from all qualified individuals, including Persons with Disabilities (PWDs), and are committed to fostering an inclusive workplace where everyone has the opportunity to succeed.

Last date to apply: November 16, 2026.

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