Top Data Analyst Jobs in Melbourne

Perform workforce data analysis and governance for People & Culture; build and maintain Power BI/Excel/Tableau dashboards and reports; ensure data integrity; deliver remuneration analysis and contribute to P&C systems, audits, and continuous improvement projects to support strategic decision-making.

Support Finance Operations by delivering monthly financial results, monitoring merchant performance, maintaining balance sheet reconciliations, overseeing interline/codeshare revenue reconciliations, and driving automation and self-service analytics to improve data quality and efficiency.

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.

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

Analyze RedBook vehicle data to improve pricing products: extract and combine data via SQL/APIs, build automated data pipelines, and deliver end-to-end dashboards and data products using Python/R and cloud workflows.

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

Perform full-stack on-chain and product analytics: query on-chain data, profile ecosystem actors, benchmark protocols, define KPIs, build dashboards, and translate findings into actionable briefs for strategy, BD, product, and growth teams.

Lead integration of client portfolio data into the Portfolio Accounting System (PAS), ensuring data governance, transformation logic, validations, reconciliations and issue triage. Collaborate with Product, Operations, SMEs, QA and customers to define requirements, perform UAT, troubleshoot data mapping issues, and maintain compliance and secure data handling.

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.

Analyze large datasets to identify trends and deliver actionable insights; design and monitor KPIs; build and maintain dashboards and reporting frameworks; conduct ad hoc analyses; ensure data quality and support reporting infrastructure in partnership with product and business teams.

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.

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.

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.

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

Deliver trusted reporting and actionable insights across the analytics lifecycle: gather requirements, ETL and cleanse data, build dashboards and automated pipelines (Power BI/Databricks), ensure data quality and governance, and communicate findings to stakeholders to support strategic decisions.

Manage requests for new ServiceNow reports and dashboards, resolve dashboard/reporting incidents, train users on dashboards, build executive KPIs and scorecards, engage stakeholders to gather requirements, and apply AI/Generative AI for reporting automation and insights.

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.