Top Intelligence Analyst Jobs in Melbourne

Perform advanced threat hunting, dark web research, and customer-specific cyber threat intelligence operations. Own assigned customer accounts, deliver actionable intelligence and tailored briefings, respond to ad hoc requests, and advise stakeholders from SOC analysts to CISOs. The role also involves incident handling, intelligence tradecraft, customer relationship management, service improvement, and applying AI technologies to enhance workflows and decision-making. Travel may be required up to 5% of the time.

Lead ICS/OT cyber threat intelligence research, threat hunting, network and industrial protocol analysis, and incident response support for a customer team. Establish OT asset and network behavior baselines, map findings to MITRE ATT&CK for ICS, develop confidence-based assessments, advise stakeholders on mitigations, and produce technical and strategic intelligence content. The role requires independent customer engagement, expertise in freeform and hypothesis-driven hunting, and strong knowledge of industrial control systems and critical infrastructure threats.

Leads APAC real-time crisis intelligence coverage by gathering, corroborating, prioritizing, and curating information from social media and other sources. Ensures timely, accurate alerts, manages at least two analysts, provides coaching and feedback, supports hiring and training, and assists with scheduling, operations, and cross-functional projects. The role requires regular weekend and public holiday shifts in a remote, high-pressure environment.

Provides actionable intelligence analysis and briefings supporting national defense warfighting missions. Researches adversary threats, assesses vulnerabilities to critical mission systems, develops CCIRs and TTPs, supports training and exercise planning, maintains intelligence data resources, and advises senior military and civilian government customers. Collaborates across intelligence, engineering, mission protection, and strategy divisions while addressing knowledge gaps and supporting real-world operations.

Own decision quality by evaluating AI-generated decisions, identifying reasoning failures, designing feedback and training loops, defining decision-quality metrics, and collaborating with Product, R&D, and Engineering to improve robustness, explainability, and drift detection.