Hybrid Data Insights Officer in Ryde

Hybrid Data Insights Officer in Ryde

Ryde Full-Time 67500 - 82500 $ / year (est.) Hybrid
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At a Glance

  • Tasks: Analyse data to drive insights and support strategic decisions across the university.
  • Company: Macquarie University, a leader in education and research.
  • Benefits: Flexible work arrangements, professional development, and a vibrant campus culture.
  • Other info: Join a collaborative team with opportunities for growth and innovation.
  • Why this job: Make a real impact on university decisions and enhance your analytical skills.
  • Qualifications: Experience in data analysis and a passion for improving data quality.

The predicted salary is between 67500 - 82500 $ per year.

Macquarie University is seeking a Data Analysis Officer to join the Business Intelligence and Reporting (BIR) team.

The role informs high-level decisions through enterprise analytics and reporting, contributing to data quality and transformation initiatives across the university.

You will work with data engineers, analysts, and IT specialists to deliver insights, support rankings submissions, and improve data-driven decision-making within a visible, cross-portfolio context.

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Hybrid Data Insights Officer in Ryde employer: Macquarie University

Macquarie University is an exceptional employer, offering a vibrant work culture that fosters innovation and collaboration within the School of Computing. With a strong emphasis on professional development, employees have access to numerous growth opportunities, including involvement in high-impact research projects at the Cyber Security Hub. Located in a dynamic academic environment, the university provides a supportive atmosphere for both teaching and research, making it an ideal place for those seeking meaningful and rewarding careers in education.

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Contact Details:

Macquarie University Recruitment Team

We think you need these skills to ace Hybrid Data Insights Officer in Ryde

Data Analysis
Enterprise Analytics
Reporting
Data Quality Management
Data Transformation
Collaboration with Data Engineers
Collaboration with Analysts