Analytics Specialist

About the Analytics Specialist Role at University of Sydney

We are seeking an Analytics Specialist to join the Advanced Analytics, Planning & Enterprise Data team. This full-time, continuing role is central to advancing the University's AI capabilities and delivering high-value analytics. You will leverage your Python expertise in a diverse, agile, and engaging environment to shape data and AI solutions, improving the staff and student experience.

You will play a pivotal role in designing intelligent solutions, developing AI agents, and unlocking critical insights. Collaborating with a vibrant community of analytics and AI experts, you will build high-impact, Python-based products using machine learning and modern analytical techniques to guide strategic decision-making across the institution.

Key Responsibilities

• Partner with stakeholders to understand challenges and deliver targeted analytics and AI-enabled solutions.
• Apply best-practice techniques using Python, SQL, and modern data platforms to analyse, model, and process data.
• Develop robust data models for reporting, advanced analytics, and AI/ML solutions, ensuring accuracy, scalability, and alignment with stakeholder needs.
• Develop and implement sustainable analytics products, including AI agents and machine-learning-driven tools that enhance automation and insight generation.
• Present insights using tools such as Power BI, Tableau, and Excel for diverse audiences.
• Provide data-driven recommendations that support strategic teaching, research, and operational decisions.
• Contribute to data quality initiatives, continuous improvement, and operational excellence across analytics workflows.

About You

The ideal candidate will possess:

• Advanced Python coding skills, including experience building analytical models, automation workflows, and production-ready solutions.
• Hands-on experience developing AI agents or applied AI/ML solutions.
• Strong communication and stakeholder engagement capabilities.
• Experience with analytics tools, databases, and data visualisation platforms.
• A proactive, collaborative approach, comfort working in agile environments, and a commitment to innovation and continual learning.
• Desirable: Web development experience (full-stack or front-end) to support the delivery of analytics-driven applications.

Important Application Requirement

Candidates MUST upload a cover letter with two paragraphs that:

1. Explains your contributions to a project that delivered actionable insights.
2. Describes an example of when you developed, or contributed to the development of, an AI solution and the purpose it served.

Sponsorship / Work Rights for Australia

You must have unrestricted work rights in Australia for the duration of this employment to apply. Visa sponsorship is not available for this appointment.

Pre-employment Checks

Your employment is conditional upon the completion of all role required pre-employment or background checks in terms satisfactory to the University. Similarly, your ongoing employment is conditional upon the satisfactory maintenance of all relevant clearances and background check requirements. If you do not meet these conditions, the University may take any necessary step, including the termination of your employment.

EEO Statement

At the University of Sydney, our shared values are trust, accountability and excellence and we strive to be a place where everyone can thrive. We are committed to creating a University community that thrives through diversity and reflects the wider community that we serve. We deliver on this through our commitment to diversity and inclusion, evidenced by our people and culture programs, as well as key strategies to increase participation and support the careers of Aboriginal and Torres Strait Islander People, women, people living with a disability, people from culturally and linguistically diverse backgrounds, and those who identify as LGBTQIA+. We welcome applications from candidates from all backgrounds.

We are proud to be recognised as an Australian Workplace Equality Index (AWEI) Platinum Employer. Find out more about our work on diversity and inclusion.

How to Apply

Applications (including a cover letter, CV, and any additional supporting documentation) can be submitted via the Apply button at the top of the page. For a confidential discussion about the role, or if you require reasonable adjustment or support filling out this application, please contact Kristy Fairweather, Recruitment Operations, by email to kristy.fairweather@sydney.edu.au

Key skills/competency

• Python
• SQL
• Machine Learning
• AI Agents
• Data Modeling
• Data Visualization
• Stakeholder Engagement
• Agile Methodologies
• Power BI
• Tableau
• Excel