Top Data Jobs in Sydney

As a Senior Data Scientist, you'll partner with business leaders to provide data insights, align metrics, and build data products while leveraging AI for efficiency.

As a Senior Data Scientist, you will apply scientific thinking to solve complex problems, collaborate with cross-functional teams, and drive product development through data analysis and experimentation.

The Data Services Specialist integrates and presents analyses, builds data platforms, and develops data pipelines while collaborating with data scientists and optimizing internal processes.

The Senior Data Analyst, Supply Chain leads analytics projects, mentors team members, and transforms data into actionable insights, enhancing procurement and supplier management.

The Marketing Data Analyst will support data analysis, reporting, and enhance data quality processes to drive marketing effectiveness and data-led decisions.

The Data Scientist will establish data systems, create dashboards, analyze performance, and provide actionable insights for business growth.

As a Data Science Manager, you will guide clients through data science transformations, lead teams, and implement scalable machine learning solutions across varied industries.

Lead the evolution of Blinq's data infrastructure, manage a team of data engineers, and ensure scalable, reliable data systems for analytics and product insights.

Lead client-facing data and analytics programs in the insurance domain, focusing on consultative engagement, project delivery, and strategic solutions. Manage stakeholder relationships and drive analytics-led transformations while ensuring project success.

The Data Solution Analyst provides data solutions, designs data models, writes SQL queries, uses Python and Java for data workflows, and collaborates with teams to enhance analytics and reporting capabilities.

The Head of Data Operations manages the data team, ensures data quality, oversees operations, and enhances data processes while communicating with stakeholders.

The Data Engineer role involves architecting a unified data platform, managing data pipelines, supporting AI functions, ensuring data integrity, and collaborating with cross-functional teams.

As a Senior Data Scientist, you'll lead data-driven projects, develop AI systems for customer experiences, and optimize operations through automation, collaborating across teams to drive commercial growth.

The Data Engineer will support research teams by optimizing data processing workflows, managing data pipelines, and collaborating on data strategy. Responsibilities include development of platforms, cost optimization, monitoring, and mentoring.

The Data Scientist will analyze complex data sets, develop predictive models, and drive strategic business decisions using advanced analytical techniques, including machine learning and LLMs, while collaborating across teams to enhance operations and product offerings.

The Data Platform Engineer develops and maintains data pipelines, dashboards, and ensures data quality for data-driven decision-making.

The Data Analysis Engineer will perform data exploration, validation, and mining to support banking products, utilizing SQL and Python for detailed data analysis and ensuring data quality across projects.

The Senior Data Analytics & Insights Analyst will build data pipelines, resolve integration challenges, analyze marketing metrics, and develop predictive models to optimize marketing initiatives.

The Senior Data Analyst will provide safety data analysis, maintain systems governance, support safety and sustainability reporting, and facilitate user training on digital Safety Management Systems.

As a Product Analyst, you will analyze user behavior, support product development through data-driven insights, and conduct A/B testing. Collaboration with product management and engineering teams is essential to align on key metrics and recommendations.

As a Junior Data Engineer, you'll assist in building data pipelines, optimizing DB models, ensuring data quality, and developing analytics tools, while collaborating with stakeholders and learning from senior engineers.

The Carbon Data Analyst will define client data for carbon measurement, transform unstructured data, calculate carbon footprints, and provide feedback to improve the platform.

The Principal Data Scientist will lead data-driven insights, mentor teams, influence data strategy, and develop impactful AI features for Culture Amp's product offerings.

The Senior Data Platform Engineer will deliver data projects in a consulting environment, managing multiple priorities, working with cloud data platforms, and leading technical initiatives while collaborating with clients.

The Head of Data will develop and execute data strategies, lead data teams, and ensure data governance and analytics initiatives are aligned with business growth.