Top Data Analyst Jobs in Melbourne

Build and maintain user tagging and profiling systems, analyze large-scale behavior data, perform feature engineering and exploratory analysis, support cross-functional teams for segmentation, monitor tag effectiveness, detect anomalies and fraud patterns, and improve data methodologies to enable risk control and personalized services.

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 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.

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.

Partner with product, operations, and stakeholders to build and maintain dashboards (SQL, Tableau), investigate data to explain trends, design reports, enable self-service analytics, and ensure analyses comply with privacy and security policies to drive business decisions.

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 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.

Partner with stakeholders to define business problems and requirements, translate needs into user stories and technical documentation, support solution design and project delivery, develop reporting/KPIs and dashboards with Reporting Analysts, facilitate testing and UAT, and deliver training and documentation to improve data literacy across the organisation.

Design and build gold-layer data assets, maintain robust pipelines, and enable self-service BI. Deliver advanced analyses and decision-ready insights, define key metrics with stakeholders, ensure data quality and governance, and mentor junior analysts while implementing version control and monitoring pipelines.

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.

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.

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.

Partner with stakeholders to build trusted Wealth data assets, support regulatory reporting, improve data quality, create Power BI reports, perform data profiling, reconciliation and exploratory analysis, and support data governance and delivery processes.

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.