Top Data Analyst Jobs in Melbourne

Lead and manage data analysis projects at Pfizer, utilizing strong communication and analytical skills to improve processes and guide operational teams.

As a Data Analyst, you will analyze datasets to provide insights, build dashboards, manage data pipelines, and collaborate with stakeholders for data-driven decisions.

The Workforce Performance & Data Analyst role focuses on optimizing workforce productivity through advanced data analytics, dashboard design, and stakeholder collaboration to improve business decisions.

The Marketing Effectiveness Analyst will analyze data to improve marketing performance, interpret complex data into actionable insights, and collaborate on cross-functional projects to enhance business growth.

The Data Analyst role involves designing and automating reports, analyzing customer support data, and optimizing the meter to cash lifecycle. You'll collaborate with the COO and operations to drive insights and measure customer experience effectiveness.

Responsible for developing and maintaining PowerBI dashboards, automating reporting processes, and integrating data from various cybersecurity tools to enhance insights and reporting.

The Associate Data Analyst will support data analysis, develop forecasting models, automate reporting, and analyze trading performance metrics.

The Business Analyst will enhance data-driven decision-making, manage project data, support workflow administration, and implement digital solutions to drive process improvement.

The role involves optimizing the inbound marketing funnel for ANZ, managing MQL definitions, driving customer upsell processes, and monitoring overall funnel performance using various marketing technologies.

The Data & Workflow Automation Analyst designs and manages automated workflows that integrate customer feedback with business actions across various platforms, ensuring operational efficiency and governance in data movement and automation processes.

The role involves extracting data from various sources, ensuring timely delivery, quality auditing, and assisting in global trade data management.

Lead the development of data analytics initiatives, utilizing AWS data lake to provide insights, establish governance, and mentor teams.

As a Senior Data Analyst at Athena, you'll provide actionable insights through reports and dashboards, ensure data accuracy, and collaborate with stakeholders to support business decisions.

The Global Data & Reporting Analyst will develop and manage automated data pipelines, ensure data quality for sustainability reporting, and optimize data processes for internal and external stakeholders.

The Senior Data Analyst will improve financial reporting, drive strategic priorities through analytics, and partner with teams to provide actionable insights. Responsibilities include data modeling, dashboard creation, and stakeholder collaboration.

The role involves data investigation, stakeholder engagement, managing product backlogs, and developing solutions on Databricks, ensuring compliance and governance in Financial Services.

The Senior Data Analyst will perform marketing analytics and business intelligence to aid strategic decision-making, lead marketing measurement initiatives, and enhance tracking operations.

The Senior Data Analyst will provide safety data analysis and reporting, ensuring compliance with safety management systems, and support strategic initiatives across safety and sustainability data processes.

The Senior Data Analyst role focuses on data investigation, insights, and stakeholder engagement, requiring expertise in data workflows and the Financial Services industry.

The Senior Data Analyst will harness data through advanced analytics and AI, present insights, develop measurement frameworks, and build data products to support business goals.

The Business Data Analyst will analyze data to inform business strategy, build reports and dashboards, and provide insights for decision-making.

The Senior Data Analyst manages quarterly analytical projects, transforming business questions into scalable data products while mentoring analysts and ensuring project alignment with company OKRs.

Analyze datasets to identify trends, drive insights, and collaborate with engineering teams to enhance data pipelines, applying statistical techniques to improve decision-making.