Data Systems Analyst

12 hours ago

Brisbane, Queensland, Australia Hudson Australia Full time

This pay rate is inclusive of mandatory 25% casual loading

As a Systems Analyst in the Data+ Program, you will be pivotal in assessing, optimising, and enhancing our data systems to drive strategic decisions. Your expertise will guide the analysis of business needs, the design of data models and architectures, and the implementation of reliable, scalable data solutions.

Expected hours of work is 40 hours per week provisioned until the 30th June with a very strong likely hood of a 12 month extension

**Key Responsibilities**
- 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.

**Required Qualifications**
- 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.
- Expertise in data modeling, database design, SQL, and data integration technologies (e.g., ETL tools, API integration).
- Strong communication and collaboration skills, with a proven ability to work effectively with cross-functional teams and stakeholders.

**Preferred Skills and Experience**
- 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.

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