Top Data Analyst Jobs in Melbourne

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 marketing, media, website, CRM, and brand data to develop measurement frameworks, actionable insights, dashboards, and executive presentations. Build and debug analytics tracking, automate reporting, and create AI pipelines using prompts, evaluations, and data workflows. The role requires translating complex findings into clear recommendations, working with messy data, and collaborating with strategists, designers, and technologists to improve business 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.

Manage daily Data team operations, research and analyze datasets, build internal and external reports (including an annual Startup Ecosystem Ranking), and maintain/improve Python scripts and data infrastructure to deliver actionable insights.

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.

Analyze and model cloud, AI, and SaaS cost data across AWS, GCP, and vendor sources. Build QuickSight dashboards, forecasts, anomaly detection models, and unit economics reporting for engineering, Finance, and leadership. Extend FinOps analytics to AI workloads, including token, inference, API, and GPU costs. Automate insight generation, maintain trusted datasets, and collaborate cross-functionally to improve technology-spend visibility and optimization.

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.

Designs and maintains Power BI dashboards, reports, data models, DAX calculations, and Power Query transformations. Translates business requirements into scalable reporting solutions, provides Power BI administration and troubleshooting, collaborates with stakeholders, documents technical work, and improves data quality and analytics capabilities.

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.

Analyze utility customer data, build dashboards and visualizations, deliver bespoke analyses, validate outputs, and communicate insights to technical and non-technical stakeholders. Support customer delivery by partnering with power engineers and data engineers, troubleshoot data issues, and help translate recurring analyses into product features. Contribute to documentation, playbooks, tooling, and automation that improve analytics delivery.

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

Lead marketing measurement: own attribution, incrementality testing, and media mix modeling. Design and analyze experiments, build repeatable templates and self-serve analytics, translate results into budget and growth recommendations, ensure data integrity, and embed AI tools into analysis workflows to measure pipeline and revenue impact.