Top Data Analyst Jobs in Melbourne

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.

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.

Serve as a strategic analytics partner to the Medical division: identify opportunities, lead end-to-end analytics projects, deliver insights and dashboards, quantify commercial impact, influence senior stakeholders, and mentor team members to drive adoption of analytics best practices and measurable business value.

Act as a strategic analytics partner to the Medical business: identify opportunities, lead end-to-end analytics projects, build dashboards and recommendations, quantify commercial impact, influence senior stakeholders, and mentor the analytics team to drive adoption and measurable business value.

Owns Finance Operations data, systems, reporting, workflows, and business requirements. Partners with finance and technology teams to improve data quality, reporting reliability, process efficiency, automation readiness, and AI-enabled use cases. Defines metrics and controls, identifies process improvements, supports platform enhancements, and enables adoption through documentation, testing, training, and stakeholder engagement. The role focuses on Accounts Receivable, Accounts Payable, Payment Solutions, and high-volume transactional environments.

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.

The Senior Data Analyst will gather business requirements and build scalable analytics solutions. Responsibilities include creating reliable datasets with SQL and Python in Databricks, developing Power BI dashboards and data models, automating data workflows with PySpark, supporting data pipelines, and collaborating with technical and non-technical stakeholders. The role also involves working with Azure cloud platforms and applying data governance, quality, documentation, security, and integration best practices.

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.

Lead the data solutions strategy for PR&C PSP division, managing data initiatives, teams, and collaborating on analytics projects. Ensure compliance, governance, and optimize data services while communicating technical solutions to stakeholders.

Deliver regular and ad hoc HR reporting, analyse workforce trends and risks, improve and automate dashboards/datasets, support data extracts and validation, and lead reporting efficiencies including AI-enabled solutions.

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

Own workforce analytics and reporting for planning, payroll compliance, engagement, retention and people risk. Build and maintain Power BI dashboards and semantic models, use SQL to analyse and reconcile HR/payroll data, surface insights on demand and workforce risk, partner with Data Services to improve data quality/governance, and manage a prioritised analytics backlog to improve automation and data literacy across People & Culture.

The Data Migration Analyst will analyze, validate, and support the migration of healthcare data into new EHR systems while collaborating with stakeholders to ensure data integrity and accurate migration.

Lead translation of business requirements into delivery-ready investment data solutions. Engineer and enhance investment data platforms, design and manage data pipelines, embed AI-enabled capabilities, and support governance, data quality and continuous improvement across investment, data and technology stakeholders.

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 insider risk and data loss investigations from triage to closure, operate and tune DLP across environments, build detections and workflows, partner with HR/Legal/Compliance/IT, mature insider risk program, support audits, and mentor others.

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.