Top Data Jobs in Sydney

The Senior HR Data Analyst will deliver data insights to support workforce decisions, improve employee experience, and drive operational excellence through data visualization and analytics.

The Data Quality Lead will develop data quality practices, modernize data services, oversee cross-functional teams, and establish analytics capabilities in a digital environment.

Lead moderately complex supply chain data projects, analyze trends, utilize digital technologies, and ensure compliance with regulatory standards.

Analyze data and insights for business growth, collaborate with teams to define metrics, forecast using statistical methods, and develop data products.

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.

As Lead Data Engineer, you will design and manage SQL Server databases, improve system performance, mentor engineers, and consult on architecture.

The Senior Data Specialist will manage analytics initiatives, client relationships, and develop data strategies while leading data collection and reporting efforts for enterprise clients.

As a Solutions & Data Analyst, you will provide data solutions, design data models, optimize SQL queries, automate workflows, and contribute to AI and machine learning while collaborating with various teams.

The Data Manager oversees daily operations, manages a team, ensures data quality, coordinates processes, and engages in market research in financial services.

As a Senior Data & Analytics Engineer, you will build data pipelines, manage large cloud data platforms, and develop analytics models and dashboards to provide insights.

Lead the data engineering team, develop and optimize data pipelines, manage cloud data platforms, and ensure data governance and quality.

The Senior Consultant will develop and validate analytical scripts using SQL and Python, consult on data analytics solutions, and manage stakeholder expectations.

The Data Engineer will architect a unified data platform, manage data pipelines, collaborate with teams, and ensure data quality.

As a Senior Data Scientist, you'll build AI-driven systems and tools, automate workflows, lead experimentation, and promote best practices in data science for commercial growth.

The Senior Data Engineer will lead the development of insurance data assets, ensuring data availability for analysis and decision-making, utilizing AWS and big data technologies while collaborating with various stakeholders.

Lead and mentor the data engineering team, develop data pipelines, and ensure robust data governance and compliance.

The Data Scientist role involves developing predictive models, collaborating with teams, communicating insights, and driving continuous improvement using machine learning and analytics.

Lead data strategy, governance, and analytics initiatives across the organization, ensuring compliance and ethical use of data and AI while driving innovation.

The Data Platform Engineer role focuses on developing and maintaining scalable data pipelines, ensuring data quality and reliability, and supporting data operations across the organization.

The Data Analysis Engineer analyzes banking datasets, validates data quality, creates Python scripts, and collaborates with teams to enhance data-driven decision making.

As a Data Architect at Adobe, you'll design data architectures, lead implementations, ensure data integration, and optimize performance while collaborating with teams.

The Principal Data Scientist will drive AI feature development and insights generation, mentor teams, and ensure effective data strategies at Culture Amp.

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 Data Architect, you will design cloud-native data platforms, lead migration projects, drive data strategies, and mentor junior members.