Top Data Analyst Jobs in Melbourne

Deliver HR analytics, dashboards and reporting to support workforce decision-making. Analyse recruitment, turnover, onboarding, compliance and engagement data; maintain HR data integrity; support HR system upgrades; create visualisations and present insights to stakeholders; identify data gaps and improve processes.

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.

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.

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.

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.

Develop and maintain Power BI dashboards, reports, semantic models, and visualizations using complex financial and operational data. Analyze trends, support KPI and performance measurement frameworks, monitor report refreshes, investigate data discrepancies, and communicate actionable insights to technical and non-technical stakeholders across international teams.

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.

The Data Analyst will analyze complex datasets, develop reports, collaborate with stakeholders, perform data cleansing, and support business planning to deliver actionable insights.

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.

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.

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 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.

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 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.

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