Top Data Jobs in Sydney

The role involves managing Data & Analytics for the Plan to Fulfil area as part of the S/4HANA digital transformation in Pet Nutrition. Responsibilities include data collection, analysis, and presentation of findings to stakeholders, along with ensuring data accuracy and developing solutions.

The role involves overseeing Data & Analytics for Lead to Cash within the Shepherd transformation program. Responsibilities include data collection and cleaning, data analysis using statistical techniques, and reporting findings to stakeholders through dashboards and visualizations. It's vital to ensure data accuracy and provide insightful analysis to guide decision-making in the digital transformation process.

The candidate will manage Data & Analytics for Finance as part of a significant ERP Digital Transformation within Mars Pet Nutrition. Responsibilities include overseeing data ownership, collaborating with various teams, and enhancing data systems and models related to Finance.

Responsible for data business development, data governance, and data platform maintenance in a top cryptocurrency exchange. Requires expertise in Python, big data platforms, SQL, and database management. Strong communication and problem-solving skills.

As a Chapter Lead for Data Science & AI, you'll guide a team of data scientists in developing innovative AI solutions, overseeing the full modeling lifecycle, and driving operational efficiency. Your role involves leading projects from concept to implementation, mentoring team members, and translating complex AI concepts into practical solutions.

As a Senior Data Migrations Specialist, you will lead data migration projects, performing data transformations based on customer workflows. You'll provide excellent customer service during migrations, design automation tools using Python, and collaborate across teams to enhance the migration experience.

As a Senior Technical Data Analyst, you will enable data delivery democratisation by producing the Enterprise Semantic Data Model. Responsibilities include collaborating with design stakeholders, creating playbooks, analysing data profiles, gathering requirements, and documenting business processes using standard analysis methodologies.

The Systems Performance & Reporting Manager will oversee the key audit system, manage process optimizations, collaborate with cross-functional teams to enhance user experience, and contribute to the strategy of Group Audit. Responsibilities include maintaining documentation, supporting operational performance monitoring, and assessing emerging technologies for system improvements.

The Senior Data Analyst will lead data-centric projects, analyze complex datasets to uncover business insights, and communicate findings effectively to stakeholders. This role requires collaboration with product managers and engineers to ensure proper data management and governance, and to develop strategies for leveraging data to enhance business outcomes.

Lead and manage data science projects, collaborating with stakeholders to leverage data for AI and machine learning. Design and implement strategies that drive business results, ensure data quality, and mentor junior team members. Communicate insights to various stakeholders and adhere to ethical guidelines while promoting data literacy.

The Data Engineer II role at Cencora focuses on providing accurate data support for Legal and Compliance departments. Responsibilities include data extraction and analysis, data quality validation, and developing analytics models to address business challenges. The position requires data monitoring, collaborating with teams, and ensuring data integrity for effective decision-making.

The Head of Operations will lead a team responsible for managing data centre operations, ensuring secure, compliant, and efficient operation. Responsibilities include resource and budget management, incident and risk management, team leadership, and driving automation efforts. The role requires extensive experience in the IT&T and Data Centre industry with a focus on operational excellence.

The Data Scientist will develop AI powered features, enhance data quality, and work on data pipelines and experimentation to deliver actionable insights. The role involves collaboration with machine learning engineers and staying current with research to address customer needs.

The Senior Digital Lead - Data & Analytics will manage the Data & Analytics for the Financial aspect of the Shepherd program, leading a high-performing team, ensuring data accuracy, performing analyses, and reporting insights for digital transformation in Pet Nutrition.

Senior Data Engineer responsible for designing, building, and maintaining data pipelines on Google Cloud Platform (GCP). Must have deep understanding of GCP services, experience with data modeling and optimization, strong analytical skills, and proficiency in Java, Python.

The Senior Data & AI Specialist at IOTA will lead data analysis, model development using machine learning, and product strategy development. Responsibilities include data visualization, cross-functional collaboration, and process optimization to enhance data management and insights.

As a Senior Data Analyst, you will analyze datasets to identify trends, generate insights, collaborate with data engineering to enhance data pipelines, create dashboards in Looker, and conduct statistical analysis to help solve business issues. You'll work with cross-functional teams to ensure analytics align with company goals.