• Full time, fixed term until 30/11/2026
• Power the Future of AI at Sydney: Become Our Next Business Intelligence Analyst
• Base Salary $ 103,185 - $ 111,237 + 17% superannuation

ABOUT THE OPPORTUNITY

Are you a strategic thinker with a sharp analytical mind and a passion for solving complex problems with emerging technologies?
The University of Sydney’s Automation & Innovation Hub (AI Hub) is seeking a dynamic and detail-driven Business Analyst – AI Solutions to play a key role in shaping digital transformation initiatives across the University. As a member of this cutting-edge team, you’ll work with software engineers, AI developers, and a wide range of stakeholders to deliver impactful solutions that enhance the University experience for students, researchers, and staff.

At the AI Hub , we’re building more than just automation—we’re building a culture of innovation. Here’s what you’ll gain:

• join a forward-thinking, high-impact team driving digital transformation across the University
• work closely with experts in AI, automation, and data science
• be part of a supportive, collaborative, and hybrid-friendly work environment
• access to professional development opportunities and mentorship
• make a real difference by improving the day-to-day experiences of students and staff through smart technology
• competitive salary and access to various career acceleration programs
• fun and collaborative work culture with social programs.

As Business Intelligence Analyst, you’ll be at the intersection of strategy, data, and technology.

Your key responsibilities will be to:

• collaborate with stakeholders to define, analyse, and prioritise business requirements
• run engaging workshops to uncover needs, co-design solutions, and identify risks
• support agile delivery by managing product backlogs, writing user stories, and mapping business processes
• translatre technical concepts into business-friendly language for stakeholders
• use tools like Power BI to design intuitive dashboards and reports for internal and external use
• collaborate on projects that leverage cutting-edge technologies including Generative AI, Natural Language Processing, Machine Learning, Robotic Process Automation, and cloud platforms like Microsoft Azure and AWS
• contribute to project roadmaps and change management activities to ensure smooth rollouts
• become a trusted advisor and subject matter expert within the team and across the University.

• collaborate with stakeholders to define, analyse, and prioritise business requirements
• run engaging workshops to uncover needs, co-design solutions, and identify risks
• support agile delivery by managing product backlogs, writing user stories, and mapping business processes
• translatre technical concepts into business-friendly language for stakeholders
• use tools like Power BI to design intuitive dashboards and reports for internal and external use
• collaborate on projects that leverage cutting-edge technologies including Generative AI, Natural Language Processing, Machine Learning, Robotic Process Automation, and cloud platforms like Microsoft Azure and AWS
• contribute to project roadmaps and change management activities to ensure smooth rollouts
• become a trusted advisor and subject matter expert within the team and across the University