Total 524 data entry clerk job vacancies in North Sydney

This role will provide analytical and technical support for senior team members and the Thought Leadership team within the global Marketing and Communications organization. A data analyst will be in support of developing in depth, predictive thought leadership content that will be utilized in white papers, C-suite T2T presentations, industry events and content. The role will be operating with an analytical focus that requires category or CPS knowledge. The analyst will bring best in class analysis of trends, insights to be able to arm the economist and content team with actionable insights, predictive statements delivered through data stories that have relevance and impact for clients and our industries. The analyst will maintain ownership for all CPS deliverables throughout the lifecycle.  

Key Responsibilities:

• Develop, manage, and optimize ETL processes using Azure Data Factory to ensure accurate data integration across global databases.
• Design, build, and maintain Microsoft SQL Server databases, ensuring data is well-organized, accessible, and secure.
• Identify and implement performance optimization strategies for ETL processes and reports to ensure optimal user experience.
• Support data-related development and automation initiatives in Power Automate. Experience in Power Apps is a plus.
• Monitor and troubleshoot data processes to ensure uninterrupted service to global teams, including working occasionally outside regular business hours to support multiple time zones.
• Create and maintain comprehensive documentation for processes, solutions, and best practices. Ensure data governance and compliance principles are maintained.
• Communicate technical information to non-technical stakeholders effectively, tailoring the messaging as needed for diverse audiences.
• Collaborate effectively with cross-functional teams, including data scientists, analysts, and business stakeholders.

We are looking for a Senior Data Scientist to join our innovative team and lead key projects involving machine learning, time series forecasting and LLMs. You will have a solid mathematical foundation and proven experience in developing and deploying production-level code.

Key Responsibilities:

• Lead the design, development, and implementation of data science models, responsible for designing and delivering technically complex Data Science and Artificial Intelligence (AI) initiatives that produce significant business value
• Utilize advanced techniques in machine learning, deep learning, and causal inference to drive business insights and optimize performance.
• Collaborate with cross-functional teams to understand business needs and translate them into actionable data science solutions.
• Develop production-level code using Python, ensuring scalability and integration with cloud platforms such as AWS, GCP, or Azure.
• Use SQL and ETL processes to manipulate and extract data from relational databases.
• Communicate findings and insights effectively to both technical and non-technical stakeholders.
• Provide mentorship to junior team members and contribute to the overall growth of the analytics team.

The Successful candidate:

• Significant, demonstrable experience in data science or analytical roles
• You will have a track record of achievement in data science, analysis, applied statistics or machine learning
• Advanced Technical Skills: Expert-level knowledge of machine learning algorithms, model development, and deployment, with proficiency in at least one programming language (e.g., Python, R) and one database querying language (e.g., SQL). Experience with visualization tools like PowerBI is a plus.
• Business Acumen: Strong ability to align technical solutions with business strategy, and to communicate complex findings to senior stakeholders
• An academic background in statistics, mathematics, computer science, actuarial studies or similar is required
• You will have experience working in a cloud (AWS / GCP / Azure) environment
• You will have demonstrated clear and thorough logical and analytical thinking, as well as problem-solving skills and high attention to detail.
• Project Management: Experience in managing large, complex projects or multiple concurrent projects, including setting timelines, deliverables, and navigating resourcing challenges

Why Join Us:

• Work in a dynamic and innovative team driving real business impact.
• Opportunities for professional growth and development in a leadership role.
• Collaborative culture and cross-functional engagement with various teams and stakeholders.
• Competitive salary and benefits.

What is this role about?

Manager, Data Governance will work alongside Senior Manager, Data Governance to lead the data risk management and data governance function.

The role is essential for ensuring data risks are effectively identified, assessed, managed and monitored across Cuscal, in line with regulatory expectations (CPG235).

Here’s more of what you’ll work on:

• Execute Data and Data Risk Management Roadmap, Workplan: Lead the execution of Data and Data Risk Management Roadmap, Work Plan to implement data management principles.
   
• Embed Risk Practices and Mindset: Collaborating with product domains and corporate functions to embed data risk management principles and minimum requirements into day-to-day business activities.
   
• Risk Reporting and Analytics: Prepare regular updates for review highlighting key risk areas and recommendations, for reporting at Data Governance Committee (DGC), Technology Risk Committee, Enterprise Risk Committee.
   
• Facilitations of workshops: Bringing data under management at Cuscal to ensure critical data elements are identified, understood with business lineage, have quality requirements defined, have risks and controls assessed, and data issues managed, reported and resolved.
   
• Line 1 Risk: Perform 1LoD data risk management supporting teams with risk identification, assessment, incident and issue management, controls implementation and vendor risk assessment.
   
• Operationalise the Data Operating Model: Act as change champion and SME for Data Owners and Data Stewards.
   
• Custodian of Data Governance Tool: Support the rollout and adoption of the tool to product domains and corporate functions. 

The role is an Associate / Senior Cost Manager to support Data centre projects in Sydney, mainly to support post contract activities.

• Senior cost manager providing support to the team across all aspects of projects including cost estimates, quantity take-off, value engineering, tendering and evaluation, progress claim and variation assessment, final account close-out.
• Estimating and cost planning to include producing and presenting the final cost plan report.
• Measurement of all building elements for cost plan.
• Engage with market to obtain quotations / pricing to support cost estimate.
• Progress claim and variation assessments and valuations.