Top Data Jobs in Sydney

The Director of Technology will lead the data vision and enhance the performance of data and analytics projects while ensuring client satisfaction and growth.

As a Data Scientist, refine complex problems using scientific methods, collaborate with teams to enhance data-driven products, and maintain pipelines in the application of analytical data processing.

The Data Platform Engineer role involves delivering data projects, managing ETL processes, and ensuring client needs are met with robust data solutions.

As a Data Scientist, you'll collaborate across teams to design datasets, extract and clean data, automate processes, and innovate methods for data onboarding.

As a Financial Data Analyst, analyze financial data for trends and risks, prepare reports, ensure compliance, and lead process improvements.

As a Senior Data Analyst, you'll lead data governance and risk analytics projects while engaging stakeholders and enhancing risk reporting processes.

Lead ownership of data analytics infrastructure, developing practices for data quality and analytics. Collaborate with teams to enable data-driven decisions and optimize performance across systems and pipelines.

The Data Services Analyst will manage customer databases, improve core application usage, support data strategies, and create documentation and reports while ensuring excellent customer service and collaboration.

The Marketing Data Analyst manages data projects, analyzes research data, presents findings, and provides strategic solutions to clients.

The role involves developing data products and analytics, collaborating with stakeholders, engineering prototypes, and maintaining tools for data innovation.

Lead enterprise-wide data transformation and governance at ResMed, shaping data strategy, compliance, and a data-driven culture while partnering with various business functions.

The Data & AI Platform Manager will lead the design and scaling of Tyro's data and AI platform, fostering innovation, compliance, and collaboration across teams while embedding responsible AI practices.

Develop and implement a data management solution, build data pipelines, support data infrastructure, and enhance data governance for risk analysis.

The Data Enablement Manager leads data integration, designs data architectures, and delivers actionable insights for strategic decision-making across nbn Operations.

As an LMI Data Analyst, you will provide data analysis, identify risk trends, support pricing model governance, and maintain analytical tools for insights in the financial services sector.

Lead the evolution of decentralized data infrastructure, design and maintain ETL/ELT pipelines, and collaborate across teams to derive insights from data.

As a Senior Data Scientist, you'll lead data-driven growth strategies, build predictive models, and support cross-functional teams to enhance product performance.

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

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 Engineer will design, build, and maintain scalable cloud-based data platforms, ensuring data integrity and security while collaborating with cross-functional teams to meet analytics needs.

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 Data Engineer will design and implement data solutions, build scalable data pipelines, and collaborate with researchers to enhance data-driven decisions.

The role involves developing analytical scripts, collaborating on data solutions, ensuring data integrity, supervising junior members, and presenting findings effectively.

As a Data Architect, you'll design integrated data solutions, set strategic architectural direction, and ensure compliance in the payments industry.

The Data Analyst will manage client master data sets, ensure data quality, troubleshoot issues, and interact with stakeholders. Essential skills include Microsoft Excel proficiency and SQL knowledge.