Top Data Analyst Jobs in Melbourne

The Data Analyst will drive AI, automation, process improvement, and data-driven transformation across Finance Operations. Responsibilities include building Power Platform solutions, developing data pipelines and models, improving data quality and governance, applying AI and Copilot capabilities, and delivering self-service analytics. The role supports solution implementation through prototyping, testing, documentation, training, and stakeholder engagement while partnering with Finance and operational teams.

Develops performance reports, KPIs, and Power BI dashboards; extracts and reconciles operational data; monitors contract governance, compliance, and abatement drivers; prepares client presentations and management reports; supports mobilisations, SharePoint and portal administration, process improvement, cross-training, and analytics requests.

Manage investment and fund data deliveries, investigate and resolve data quality issues, and collaborate with investment, operations, vendors, and business stakeholders. Support process improvement, automation, new fund launches, system enhancements, and operational change initiatives. Ensure data accuracy, timeliness, and integrity for portfolio management, fund operations, and regulatory reporting while developing expertise in investment products and data workflows.

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.

Deliver customer, commercial, and operational analytics across integrated resort operations. Build forecasting models, customer segmentations, dashboards, reporting frameworks, and predictive analytics. Analyze customer behavior, pricing, product mix, channel performance, demand, and growth opportunities. Partner with senior stakeholders to translate complex data into actionable recommendations, support strategic initiatives, improve revenue and engagement, and measure business performance.

Analyze candidate-quality model performance, marketplace outcomes, and hiring results. Build and maintain data models and transformations using SQL, dbt, and Git; create Tableau dashboards; support experimentation and A/B testing; evaluate model outputs; and communicate actionable recommendations to Product, Data Science, Engineering, and business stakeholders.

Leads cross-functional special projects involving air network planning, scheduling, airline partner performance, and operational analytics. Develops optimization models, analytical frameworks, automation tools, scripts, and lightweight products to improve routing, capacity allocation, scheduling efficiency, and planning workflows. Partners with engineers, operations teams, and management to implement solutions, establish best practices, and scale innovative approaches across the organization.

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 electricity and gas pricing, revenue assurance, and sales forecasting using historical consumption, pricing, and customer data. Build SQL/dbt data models, Python analysis scripts, and Holistics reports and dashboards. Partner with Pricing, Sales, Data Engineering, and other business teams to deliver accurate insights and effective visualizations. Support regulatory reporting and collaborate with stakeholders to ensure data quality and clear communication.

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.

Lead SAP S/4HANA data migration activities: profile legacy and SAP data, define source-to-target mappings, build and execute migration datasets, drive cleansing and remediation, support ETL and reconciliation, manage migration cycles and cutover activities, and partner with stakeholders to ensure data quality and successful go-live.

As a Senior Data Analyst, you will develop data models and pipelines, produce actionable insights, mentor peers, and drive decision-making for Kick's growth.

The Business Analyst will manage product development and support, translating business needs into application requirements, focusing on data management and governance, and working closely with technology teams.

Leads workforce planning analytics for a large hospitality network. Analyzes sales and labor performance, develops venue segmentation, productivity benchmarks, and demand-based forecasting models, and translates business drivers into required labor hours. Supports discovery of advanced workforce planning and rostering tools, communicates actionable insights to operational leaders, and tracks financial and process benefits. The role requires advanced statistical analysis, predictive modeling, SQL, cloud and visualization expertise, and collaboration with finance, project teams, and venue stakeholders.

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.

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.

Owns end-to-end product, growth, subscription, and commercial analytics. Responsibilities include defining metrics, improving instrumentation and data quality, analyzing customer behavior and retention, reconciling subscription data, building executive dashboards, supporting experimentation, and translating findings into recommendations. The role requires advanced SQL, BigQuery, Python, and stakeholder communication skills, with additional exposure to product analytics, SaaS, mobile subscriptions, e-commerce, AI features, and statistical analysis valued.

Lead discovery for healthcare data archival projects: run stakeholder workshops, analyze EMR/EHR and patient accounting systems, define extraction requirements and archival strategy, coordinate system access, manage risks/dependencies, and produce documentation to hand off to technical teams.

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.