Top Data Analyst Jobs in Melbourne

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 large datasets to identify trends, patterns, and insights that support business decisions. Develop dashboards and reports, validate data quality, perform forecasting and predictive modeling, collaborate with stakeholders, improve analytics processes, and uphold data governance standards. The role requires strong communication skills and proficiency with data analysis languages and business intelligence tools in an agile environment.

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.

Supports Agile delivery for a federal government data program as Scrum Master and Business Analyst. Responsibilities include facilitating Scrum ceremonies, managing backlogs, tracking milestones, risks and dependencies, gathering requirements, mapping processes, developing user stories and documentation, facilitating stakeholder workshops, and supporting testing, implementation, governance and change activities.

Lead analytics to improve player experience, engagement, retention, and monetization. Analyze player lifecycle, run cohort and funnel analyses, design and evaluate A/B tests, build dashboards, define product metrics, investigate KPI changes, and partner with product, marketing, engineering, and data teams to deliver data-driven recommendations and improve data quality.

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.

Own Zip’s Expected Credit Loss and loss forecasting processes, including monthly production, quarterly parameter monitoring, methodology, scenario and variance analysis, back testing, controls, automation, and audit support. Analyze portfolio performance, delinquency, and write-offs to produce clear recommendations for Credit Risk and Finance stakeholders. Improve data governance, analytical code, forecast accuracy, and explainability while supporting bad debt initiatives and exploring AI-enabled improvements.

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.

Design and build gold-layer data assets, maintain pipelines and data quality, deliver advanced analyses and self-serve BI for Commercial teams, translate insights for leadership, implement version control, peer-review analyst work, and promote data governance.

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.

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

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

The Senior Analyst will use data and analytical techniques to solve business challenges, create dashboards, communicate insights, and partner with teams to enhance product features and operational processes.

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.