Top Data Analyst Jobs in Sydney

The Market & Data Analyst delivers insights leveraging enterprise data to support business development and client experience. Responsibilities include BI report development, stakeholder engagement, and enhancing data-driven maturity.

The Data Analyst will manage clients' energy data, validate invoices, report on sustainability, and assist in budgeting and forecasting.

The Product Data Analyst analyzes user behavior, validates data using SQL, profiles datasets with Python/PySpark, maintains product metrics, ensures data integrity across workflows, and collaborates closely with engineering and product teams.

The Data Analyst will establish analytics ownership for dashboards and reporting, provide insights to stakeholders, and improve decision-making through data quality and instrumentation.

Interns will work alongside analysts, collecting and cleaning sports data, analyzing trends, and gaining insights into the sports consultancy industry.

Lead reporting for a major retailer on the Unify+ platform: own report creation, client partnership, improve functionality, resolve data issues, and manage one direct report to ensure accurate, timely analytics deliverables.

The Senior Data Analyst I role involves delivering insights to improve customer experiences, governing critical metrics, and operationalizing analytics with AI. Responsibilities include designing experiments, creating scalable datasets, and collaborating with cross-functional teams to influence product strategy and decision-making.

The ESG Junior Data Analyst will conduct research and analysis on environmental and social risks, manage internal data requests, ensure compliance with data standards, participate in quality control, and engage in various projects within the ESG framework.

The ERP Data Analyst at Velixo will analyze business requirements, design reporting solutions using SQL and Excel, conduct training, and provide support to clients.

The role involves client support, managing issues, participating in client meetings, assisting with project and PMO activities, and developing skills in data analytics technologies.

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