Top Data Jobs in Sydney

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.

As a Senior Data Engineer, you will manage data platforms and pipelines, integrate systems, and enhance data infrastructure using Microsoft Fabric.

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

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.

The role involves designing and delivering data science solutions, managing client relationships, mentoring junior staff, and optimizing AI models based on Visa's extensive data sets.

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.

As a Data Engineer, you will design and maintain real-time data pipelines using Kafka, collaborate with teams, and ensure data system performance and reliability.

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 Senior Data Engineer will leverage extensive data engineering experience and programming skills primarily in Python and SQL for cloud data solutions, working with tools like Docker and Terraform.

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 role involves designing AI-based solutions for credit risk, developing data processing and machine learning models, and mentoring junior staff.

The Client Data Analyst role involves liaising with customers to solve analytical problems, working on data analysis and visualisation, and building relationships with key stakeholders in the property market.

The Global Data Scientist will develop and implement AI and machine learning models, analyze complex datasets, and collaborate with product managers to enhance business value and customer experience at Nissan.

The Research Data Analyst collects and analyzes commercial property data, manages Power BI dashboards, and collaborates with teams for market insights.

Analyze client feedback and data to provide insights that improve client satisfaction. Create reports and dashboards, collaborate with teams, and present findings to leadership.

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