1,502 data analysis jobs in Syd, Australia.

... IT systems, finance operations and insurance requirements - Analysing operational, service, financial and customer data to identify trends, run root cause analysis and recommend practical solutions - Driving testing and implementation, and supporting business cases, cost-benefit analysis and impact assessments - Helping ...

... potential clients. – Understand client requirements and provide effective ICT solutions. – Ensure high levels of customer satisfaction and retention. 3. Market Analysis: – Stay informed about industry trends, competitors, and market conditions. – Conduct regular market analysis to identify emerging opportunities. 4. Sales Strategy: ...

... screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider ...

... or operations - Experience in strategic sourcing including vendor negotiations, global contract management, process improvement, operational and financial analysis - Experience with data analysis tools such as Advanced Excel, SQL, Tableau, Python - Experience in global supply chain management, managing cross-functional ...

... breakdowns, repeat failures and recurring defects to identify trends, emerging issues and opportunities for improvement. - Support the collection, validation and analysis of lifecycle and asset condition data to assist maintenance planning, renewal prioritisation and longer-term asset planning. - Undertake technical research ...

... deployments, migrations, validation, capacity management, and routine operations. - Troubleshoot distributed systems and participate in incident response, root-cause analysis, and follow-up improvements. - Support releases and operational changes while maintaining service continuity and data integrity. - Improve monitoring, alerting, ...

... to the development and execution of AP+’s vision and enterprise strategy, keeping our plans aligned with the changing Australian payments landscape. - Lead analysis of important strategic questions, using data and structured problem solving to develop clear recommendations for senior leaders. - Monitor developments across ...

... - Prepare market commentary, analysis, and supporting documentation] - Assist with day-to-day client coverage, including marketing materials, reporting, and data management Dashboard and analytics development: - Design and build interactive dashboards powered by automated data pipelines, leveraging scripting (e.g., Python, ...

... What you'll be doing: - Leading project teams that deliver bespoke algorithms and high-stakes AI solutions to clients across the sector. - Conceiving the core data science approach and designing the associated robust software architecture for new engagements. - Mentoring a small number of data scientists and supporting the ...

... technology leverages artificial intelligence to deliver actionable insights, enhance decision-making, and drive operational efficiency. We are seeking a client-facing Data Science Consultant with AI/ML expertise to design, build, and deploy data science solutions for financial services customers. You will translate complex business ...

... control and CI/CD pipelines such as GitHub. - Tooling: Hands-on experience with data science tools such as Spark, Python, R, TensorFlow, PyTorch, and SQL. - Data Engineering: Knowledge of ETL processes and data pipeline construction, ensuring efficient data flow and integration. - Deployment: Familiar with Docker for containerization ...

... trade‑offs to architects and product teams Experience working with Azure DevOps or GitHub Actions Nice to Have Skills:  Experience with Streaming & Real‑Time Data Processing on Designing low‑latency pipelines. Exposure to Data Governance & Metadata Management in Data classification & sensitivity labels Familiarity with ...

We are seeking an experienced AWS Data Engineer to design, build, and maintain scalable data pipelines and curated datasets on AWS. The ideal candidate will have strong expertise in SQL, Python, AWS data services, and modern data engineering practices, with experience delivering data solutions for enterprise analytics and ...

... in data/solution architecture & data engineering. Demonstrating a high degree of proficiency in designing and developing complex, high quality data modelling, data solutions and defining the best practices and governance guidelines. - Strong experience and Skills in developing and maintaining data warehouses in big data ...

... Skills & Experience - Enterprise Data Architecture - Data Strategy and Operating Models - Cloud Data Platforms and Modern Data Ecosystems - Data Governance and Data Management - Data Modernisation and Transformation Programs - Data & AI Architecture spanning paradigms including Data Mesh & Data Products - Agentic Data Foundations ...

... future-ready data products. You'll also have an opportunity to implement SageMaker! Key responsibilities - Lead end-to-end data platform architecture - Design scalable data lake and data mesh solutions - Build reusable data engineering frameworks and tools - Partner with stakeholders to deliver effective data solutions - Drive DataOps, ...

... achieve meaningful financial impact for the people of NSW. TCorp’s Data & Analytics team is looking for an Analyst, Data Management to help ensure investment data is accurate, reliable and accessible across key platforms including Matrix, TCorp’s Enterprise Datastore and Aladdin. You’ll work across data quality, SQL, data ...

... these goals, we collect information that allows us to track the effectiveness of our Inclusion and Diversity programs. Learn how Accenture protects your personal data and know your rights in relation to your personal data. Read more about our Privacy Statement. About Accenture Accenture is a leading global professional services ...

... matrices. - Identify and manage Data Assets and Critical Data Elements, ensuring the application of effective data management controls and metrics. - Operationalize Data Governance activities by enforcing adherence, adoption, and tracking of Key Performance Indicators (KPIs). - Implement data governance, data quality, data catalog, ...

... science teams with a track record of developing talent and delivering end-to-end projects. - Strong hands-on background in Python and PySpark, with experience in Databricks or equivalent cloud-based data platforms. - Experience with traditional data science tools and techniques, such as XGBoost and deep learning frameworks. ...