Top Intelligence Analyst Jobs in Melbourne

Support commercial strategy by analysing customers, markets, offerings and processes. Build dashboards and visualisations, define KPIs, gather CRM requirements, present insights, and collaborate with data scientists and engineers to deliver analytics-driven recommendations.

Maintain and build SQL-based reports and dashboards, debug data pipelines, validate joins and business logic, own recurring reporting cycles, develop dbt models and documentation, handle stakeholder requests, and support exploratory analyses and analytics engineering tasks.

Validate and improve AI-generated legal and regulatory compliance outputs through legal research, testing, identifying gaps and edge cases, and providing structured feedback to product, engineering and data science teams. Support prompt design, evaluation frameworks, training data, taxonomy and metadata, and work across Australian, UK and global regulatory environments to enhance AI accuracy and customer outcomes.

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.

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.