Top Data Analyst Jobs in Melbourne

Extract, model, analyze, and interpret data from multiple sources to support operational planning, performance monitoring, governance, and decision-making. Develop and maintain Power BI dashboards, Microsoft Fabric workspaces, reports, datasets, notebooks, measures, and calculations. Provide analytical advice, identify trends and risks, communicate insights to technical and non-technical stakeholders, and collaborate with clinical, operational, and corporate teams.

Analyze complex datasets using SQL and Python to identify trends, opportunities, and actionable insights. Partner with stakeholders across Finance, Risk, Product, Operations, Technology, Distribution, and Business Development to solve business problems. Develop scalable analytics solutions, apply statistical techniques, translate findings into recommendations, and support data-driven decision-making across the organization.

Analyze and model cloud, AI, and SaaS cost data across AWS, GCP, and other platforms. Build trusted datasets, QuickSight dashboards, forecasts, anomaly detection models, and unit economics analyses. Extend FinOps reporting to AI workloads, including token, inference, API, and GPU costs. Collaborate with Engineering, Finance, Operations, and senior leaders to identify optimization opportunities and support cost-efficient technology decisions.

The Data Analyst develops and maintains Power BI dashboards, datasets, data models, SQL and DAX solutions, and data pipelines. The role supports AWS cloud analytics integration, data quality, troubleshooting, governance, documentation, and workspace administration. It coordinates data engineers, translates business requirements into technical deliverables, collaborates with stakeholders, and communicates findings to nontechnical audiences while supporting agile delivery and data privacy compliance.

Analyze crypto portfolio and market data, build dashboards and reports, monitor asset performance, automate data workflows, ensure data integrity, and present actionable insights to finance, investment, and other stakeholders.

Monitor and report on contract performance across responsive maintenance services. Produce KPI, trend, variance and early-warning reporting; analyse work order throughput, ageing, backlog and partner performance; validate data integrity; investigate abatement notices and root causes; prepare evidence packs, dashboards and performance commentary; and support corrective actions and continuous improvement.

Build and maintain OneStream forecasting, planning, reporting, and dashboard capabilities for Commercial FP&A. Develop demand planning models, reports, reconciliations, and performance monitoring processes while supporting month-end reporting and data improvement initiatives. Partner with finance, data, administration, and implementation teams to optimize the platform, automate processes, troubleshoot performance, deliver actionable insights, and develop internal OneStream expertise. The role also evaluates AI and automation opportunities across FP&A workflows.

Leads investment data enablement by translating business requirements into data solutions, engineering and enhancing investment platforms, designing data pipelines, embedding AI and advanced analytics, and supporting governance, quality, controls, documentation, and continuous improvement. The role partners with investment, technology, business, and vendor stakeholders to deliver trusted, accessible, and fit-for-purpose investment data.

As a Senior Data Analyst at Mable, you will analyze data to drive impactful decisions, collaborate with teams, and communicate insights effectively.

Analyze source-to-target data flows across utility, installer, and CRM systems. Define data mappings, validation, reconciliation, data-quality rules, lineage, privacy considerations, and reporting requirements. Support API payload definition, test-data preparation, defect analysis, traceability, and stakeholder workshops. The role requires strong SQL, integration analysis, CRM/customer data, documentation, and privacy-aware data-handling skills. Utilities or consumer-energy experience is preferred.

Analyze sales and labor performance to identify productivity opportunities and build demand-based workforce planning models. Develop venue segmentation, labor benchmarks, and forecasting models that translate sales drivers into required labor hours. Support workforce planning tooling discovery, communicate actionable insights to operational leaders, and help Finance track post-implementation benefits. The role requires strong SQL, cloud, visualization, predictive analytics, and workforce management experience, with travel to venues.

Supports health, safety, sustainability, regulatory, and business-performance reporting across the Southern Industrial region. Responsibilities include managing safety and sustainability data, Scope 1–3 emissions reporting, NGER requirements, dashboards, governance, audit readiness, data quality, and recurring HSS reports. The role partners with business leaders and supports internal, external, and sustainability assurance audits.

The Forward-Deployed Data Analyst will engage with African Ministries of Health, build data management solutions, develop dashboards, and support public health decision-making.