Top Intelligence Analyst Jobs in Melbourne

Supports the transformation of manual risk controls into automated, data-driven continuous control monitoring solutions. Gathers business, process, and data requirements; analyzes processes for automation opportunities; and assists with designing, configuring, and implementing solutions using Power Apps, Power Automate, Python, Databricks, and SQL. Collaborates with business, risk, and technology teams to improve control effectiveness, transparency, and efficiency.

Leads business analysis activities and Business Analysts across strategic technology, data, AI, automation, and integration initiatives. Partners with senior stakeholders to identify opportunities, facilitate discovery workshops, document current and future processes, assess AI and automation use cases, and translate requirements into delivery-ready artefacts. Coordinates BA resources, collaborates with architecture and delivery teams, supports Agile, Waterfall, and hybrid delivery, and drives continuous improvement and measurable business value.

Leads analysis, mining, modeling, and visualization of large-scale transactional, operational, and customer data. Partners with compliance teams to prioritize analytical use cases, support regulatory requirements, improve business efficiency, and translate complex findings into actionable recommendations. Oversees multidisciplinary analysts, manages stakeholder data requests, assesses business changes, and develops analytical systems using machine learning, big data technologies, and visualization tools.

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.

Design, develop and support enterprise BI solutions across Microsoft modern data platform and SAP reporting. Build data models, author scalable reports, optimize SQL, partner with stakeholders, and support analytics on transformational projects.