PRIMARY DETAIL

• $126,306 to $140,543 per annum (HEW Level 8), plus 17% superannuation and annual leave loading
• Full-time, continuing
• Macquarie University, Wallumattagal Campus, North Ryde

Turn data into insight, insight into strategy, and strategy into real-world impact across Macquarie University.

Our Macquarie Analytics team is hiring for an enthusiastic Senior Data Analyst, someone who is truly energised by the idea of using data to shape decisions that matter. As a Senior Data Analyst, you will sit at the intersection of strategy and insight, helping Macquarie University make evidence-based decisions that influence our long-term direction and performance.

Embedded within the Student Load Planning team, you will provide reporting, analysis, and insights across all aspects of student recruitment. You will design, develop, maintain and enhance a suite of dashboards while playing a pivotal part in delivering the University's load plan.

This is a genuine opportunity to grow with the role. Under our new Lifecycle Operations strategy, you will help enrich existing reporting with increasingly sophisticated analytics, exploring metrics such as optimal student mix, revenue mix, and lifetime value. You will also help activate these analytics and explore external datasets to unlock deeper market insights.

About the Role

Reporting to our Head of Student Load Planning, you will provide functional and technical expertise in data analytics that enables evidence-based decision-making. Key contributions include:

• Providing specialist support and advice on analytics platforms and technologies to clients and IT leadership, including evaluating emerging technologies and trends.
• Leading the design, build, configuration, testing, release, monitoring, and maintenance of analytics platforms, working with internal and external stakeholders and service partners.
• Performing complex analysis across relational and non-relational datasets to facilitate evidence-based decisions and generate innovative insights.
• Curating and linking benchmark and external datasets to enrich analytics and inform strategy.
• Assessing and planning for the availability, performance, and capacity of services to meet business needs and service level expectations.
• Leading continuous improvement of relevant processes, standards, and procedures, and maintaining clear support documentation.
• Contributing to the development of analytics capability across the University through knowledge sharing and coaching and supporting project work as a subject matter expert.

About us

The Vice-President Strategy, Planning and Performance (VPSPP) holds executive responsibility for the development and execution of university strategy, cross-institutional planning, and oversight of whole-of-University Group performance. The VPSPP supports the Vice-Chancellor, Executive Group, and University Council in shaping the long-term sustainability and strategic direction of the University. Within this portfolio, the Business Intelligence and Reporting team enables evidence-based decision-making across the University.

About You (Selection Criteria)

You are a curious and capable analytics professional who enjoys translating complex data into meaningful insights. You combine deep technical expertise with the ability to interpret requirements from many sources and prioritise effectively across competing demands.

• Tertiary qualifications in Data and Analytics, Data Science, Business, Statistics, or equivalent knowledge, skills, and experience, with a commitment to ongoing professional development.
• Subject matter expertise in analytics spanning data engineering, descriptive analytics, business intelligence, statistical analysis, and predictive modelling.
• Demonstrated experience with Alteryx, Python, R, SQL, AWS, and Power BI, plus knowledge of database management and systems thinking methods.
• Experience curating and linking benchmark and external data to generate innovative insights and inform strategy.
• Awareness of emerging trends in Artificial Intelligence (AI) and Machine Learning (ML), and the ability to assess their application to business challenges.
• Experience providing technical leadership for data and/or integration solutions within complex, multi-stakeholder, formalised project delivery environments, including cloud and hybrid on-premises configurations.
• Highly developed analytical and problem-solving skills, with the ability to interpret information from numerous sources and balance competing priorities to meet deadlines.
• Experience within the Higher Education sector is Desirable.

How to Apply

To be considered, please apply online with your CV and a cover letter outlining how your experience aligns with the selection criteria (above).

Applications Close

Applications for this role will close on 10th July at 11 PM AEST.