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Data Systems Specialist
2 months ago
Join Hudson Australia as a Systems Analyst/Technical Business Analyst and play a pivotal role in driving strategic decisions through data-driven insights.
About the RoleAs a key member of the Data+ Program, you will be responsible for assessing, optimising, and enhancing our data systems to meet business needs. Your expertise will guide the analysis of business requirements, design of data models and architectures, and implementation of reliable, scalable data solutions.
Key Responsibilities- Collaborate with stakeholders to gather and analyse data system requirements and application needs.
- Evaluate existing systems to identify strengths, weaknesses, and areas for enhancement.
- Work with Data Architects, Business Analysts, and other stakeholders to translate business needs into effective data solutions.
- Lead or support the implementation of data systems, including configuration, customisation, testing, and deployment.
- Develop and manage processes for integrating data from diverse sources, including data pipelines, ETL processes, and synchronisation mechanisms.
- Implement data quality assurance measures, including validation rules, cleansing procedures, and reconciliation mechanisms, to ensure high-quality data.
- Assess and optimise data system performance, identifying bottlenecks and implementing strategies for scalability and efficiency.
- Create and maintain comprehensive documentation for data systems, including technical specifications and user guides.
- Ensure data systems comply with regulatory requirements and security standards through robust access controls, encryption mechanisms, and auditing procedures.
- A degree in data science, computer science, information technology, or a related field.
- A minimum of five years of experience in system analysis, design, and implementation with a focus on data management and analytics.
- Strong communication and collaboration skills, with a proven ability to work effectively with cross-functional teams and stakeholders.
- Excellent communication and presentation skills, with the ability to simplify complex data solutions for non-technical audiences.
- Solid understanding of data governance principles, data security best practices, and regulatory requirements.
- Experience with Oracle Autonomous Data Warehouse is highly desirable.