Data Loss Prevention (DLP) Analyst

About the Role

Join Nightfall AI as a Data Loss Prevention (DLP) Analyst and become the operational expert protecting enterprise customers' most sensitive data. You'll combine technical expertise with investigative skills to operationalize data loss prevention across organizations, working directly with security teams to detect, investigate, and prevent data exfiltration incidents while maintaining business productivity.

Responsibilities

Alert Monitoring & Incident Response

• Monitor and analyze DLP alerts across endpoint, browser, SaaS, and AI applications to identify data exfiltration events, policy violations, and insider threats
• Perform real-time triage of security alerts, distinguishing true positives from false positives using behavioral context and data lineage analysis
• Conduct forensic investigations into data loss incidents, analyzing user activity, data movement patterns, and exfiltration vectors including email, web uploads, removable storage, source code repositories, and generative AI applications
• Follow incident response processes and escalation procedures, coordinating with customer incident response teams on high-severity cases
• Document investigation findings with clear, actionable reports and evidence trails

Policy Development & Optimization

• Configure and maintain DLP policies aligned with customer data classification schemes, compliance requirements (GDPR, HIPAA, PCI-DSS, SOX), and business objectives
• Continuously tune detection rules and sensitivity thresholds to reduce false positives while maintaining high detection accuracy
• Identify patterns in alert data to recommend new use cases, detection methods, and policy improvements
• Develop custom detection policies for industry-specific sensitive data types and unique organizational requirements
• Establish behavioral baselines by role, department, and geography to improve anomaly detection

Customer Collaboration & Advisory

• Serve as a technical advisor and subject matter expert on data protection, DLP best practices, and insider threat management
• Conduct operational reviews with customers to share insights on data risk trends, policy effectiveness, and program maturity
• Educate security teams on platform capabilities, investigation workflows, reporting, and deployment best practices
• Provide business context-driven security guidance that explains risk significance and recommended actions

Platform Administration & Technical Support

• Administer Nightfall's DLP solution including agent deployment, policy configuration, integration setup, and performance monitoring
• Troubleshoot technical issues with endpoint agents, browser extensions, and SaaS integrations
• Report bugs, provide product feedback, and contribute to feature development based on customer needs
• Coordinate with Sales Engineering, Customer Success, and Product teams to ensure customer success

Threat Intelligence & Research

• Monitor emerging insider threat trends, data exfiltration techniques, and adversary tactics
• Analyze DLP market developments and competitive intelligence to inform customer guidance
• Document novel attack patterns, evasion techniques, and detection methods

Reporting & Metrics

• Compile executive-level reports with metrics, data visualizations, and risk assessments
• Track key performance indicators: detection accuracy, false positive rates, mean time to detect/respond, policy coverage, and data at risk
• Provide business impact analysis demonstrating how the DLP program prevents data loss and supports compliance
• Develop improvement recommendations based on operational data and industry benchmarks

Requirements

Required Experience & Skills

• 3-5 years of information security experience, with at least 2 years focused on data loss prevention, insider threat, or data protection technologies
• Hands-on experience with DLP tools such as Forcepoint, Symantec, McAfee, Digital Guardian, Microsoft Purview, or comparable enterprise DLP solutions
• Demonstrated DLP administration expertise: policy configuration, detection rule tuning, agent management, report generation, and incident investigation
• Strong understanding of data classification methodologies, sensitive data types (PII, PHI, PCI, IP, credentials), and regex/pattern matching for content inspection
• Experience with incident response processes, forensic investigation techniques, and security event escalation workflows
• Knowledge of compliance frameworks and regulations: GDPR, HIPAA, PCI-DSS, SOX, and their data protection requirements

Technical Proficiency

• Strong analytical skills for investigating complex, multivariate security problems using systematic approaches
• Experience with SIEM platforms, SOAR tools, or log analysis software (Splunk, ELK, Tines, etc.)
• Familiarity with User and Entity Behavior Analytics (UEBA) and behavioral risk indicators
• Understanding of endpoint security across macOS, Windows, and browser platforms
• Knowledge of SaaS security, CASB solutions, and cloud application architectures (Office 365, Google Workspace, Slack, GitHub, Salesforce, etc.)
• Basic scripting skills (Python, PowerShell, Bash) for automation and data analysis

Preferred Qualifications

• Prior experience with Nightfall, Cyberhaven, Code42, DTEX, Proofpoint, or similar DLP/insider risk platforms
• Background in Security Operations Center (SOC) operations, threat hunting, or blue team activities
• Knowledge of machine learning and AI-based detection systems
• Understanding of API security, OAuth flows, and SaaS integration architectures
• Contributions to the security community through blog posts, speaking engagements, open-source projects, or threat research

Benefits

Compensation is determined based on interview performance, experience level, skill specialization, and market rate. Your recruiter will review finalized base salary, bonus eligibility, benefits and perks, and stock options during offer discussions.