Top Data Jobs in Sydney

The Content Data Analyst will design original research, build visualizations, analyze web performance, and collaborate with teams to turn data into actionable insights.

As a Data Engineer, build and deploy data-driven solutions using Demyst's platform, engaging in data operations, governance, and API integration.

The job involves developing data solutions based on business requirements, managing data architecture, and optimizing performance in a data platform.

The Staff Data Engineer will lead data engineering infrastructure, design scalable systems, optimize data pipelines, and collaborate with teams to enhance data practices for business impact.

Design and build a scalable data platform, mentor engineers, write clean code and tests, and contribute to data quality improvements.

The Data Engineer will develop data pipelines, optimize resource usage, collaborate with researchers, and mentor junior engineers, enhancing data strategy.

The Senior Data Engineer will develop and maintain reliable data systems, mentor the data team, and facilitate complex data projects, ensuring data accessibility and scalability.

Lead Credit and Data Science functions for Empower's international businesses by developing risk models, credit policies, and collaborating with cross-functional teams.

The Privacy and Data Risk Manager will oversee privacy and data risk management, provide advice on regulations, enhance governance policies, conduct training, and support risk assessment related to emerging technologies.

The role involves leading data engineering projects, managing technical risks, and utilizing AWS. Requires hands-on experience and leading teams to deliver business value.

The Technical MDM Data & Business Analyst will enhance master data management capabilities, design MDM solutions, develop data mappings, and support stakeholders through technical analysis and education while fostering a data-driven culture at Belron.

The Data Analyst collects and analyzes data to enhance logistics, creating dashboards and standardizing reports to support performance improvements.

Lead data stewardship initiatives within the Sales domain, ensuring effective data governance and driving user adoption for AI and analytics in collaboration with internal teams.

The Data Steward leads the stewardship of data in Finance & Strategy, collaborating with stakeholders to optimize data governance, analytics, and continuous improvement initiatives while ensuring quality and adherence to standards.

The Senior Data Engineer will own Blinq's data analytics infrastructure, ensuring data quality, integration, and supporting data-driven decisions through collaboration with product and engineering teams.

As a Lead Data Scientist, you will analyze complex problems, provide insights through advanced analytics, and support operational efficiency across APAC functions.

The Data Analyst Senior-II role involves providing analytical support to APAC functions, collaborating with stakeholders for enhanced service quality, and leading data-driven projects.