Top Analyst Jobs in Melbourne

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

Analyze complex datasets to derive insights, develop monitoring models, investigate network economics, build data tools, and present findings effectively.

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.

Lead live sessions teaching DeFi concepts, support student success, create research reports and articles, and perform analysis on investments.

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 Sustainability Analyst will analyze sustainability performance data, prepare reports, identify improvement opportunities, and support project management for environmental projects.

The Business Intelligence Analyst provides support for BI activities, manages commission plans, develops reports, monitors data inconsistencies, and collaborates with stakeholders to document business requirements.

The Lead Fraud Analyst will design, implement, and refine strategies to prevent and detect fraud while mentoring junior team members.

The Technical Business Analyst serves as a liaison between business needs and engineering, focusing on requirement analysis, documentation, and communication, while ensuring alignment on project goals across teams.

As a Research Analyst, you will author research reports, stay informed about the crypto market, and communicate insights to the community. Experience in crypto or finance is required.

The AI Business Analyst will support AI initiatives by analyzing data, developing dashboards, collaborating across teams, and presenting insights to drive operations and enhance customer experience.

The Business Analyst translates client business needs, documenting requirements and facilitating workshops to ensure solutions meet client expectations. They work with product teams to optimize processes and aid in strategic decision-making with data analysis.

As a Senior Business Analyst, lead technology initiatives, document requirements, drive service excellence using Agile methodologies, and optimize processes across corporate platforms in APAC.

The Line 1 Risk Analyst will provide risk and compliance advice, support regulatory matters, conduct assurance reviews, and enhance the risk culture within the organization.

The Senior Research Analyst will produce premium research on crypto, lead initiatives, develop valuation frameworks, and build industry relationships while mentoring team members.

The Technical Business Analyst will gather, analyze, and manage technical and business requirements for product enhancements, working closely with stakeholders to capture insights and define product features, user stories, and facilitate agile processes.

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 Associate Risk Analyst will support live trader monitoring, risk assessment, and compliance in a proprietary trading environment. Responsibilities include evaluating trader performance, analyzing trading patterns, and contributing to risk management frameworks.

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

The Report Developer/Analyst will design, develop, and maintain ERP-specific reports using Velixo and Excel, ensuring quality and improving existing solutions.

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

As a Data Analyst, you will drive analytics for customer success, answer data-related queries, and maintain data pipelines with Python and SQL.