Macquarie University
Senior Data Analyst
When your potential is multiplied by a university built for collaboration, anything can be achieved
Data and Analytics
Full-time
Office | Sydney, Australia
Visa sponsorship · No
Mid Level · A role for someone with some well-developed knowledge and skills they can bring to the role and team. Typically within 2-5 years of experience.
Apply by 05 Oct · Posted 11 September
Why Macquarie University
Macquarie is a university engaged with the real and often complex problems and opportunities that define our lives. Since our foundation 54 years ago, we have aspired to be a different type of university: one unbound by ivory towers and sandstone walls. Rather, we are focused on fostering collaboration between students, academics, industry and society, encouraging all to traverse the boundaries of their own perspective and affect change.
About the role
The Senior Data Analyst is responsible for providing trusted advice, analysis and insights for the recruitment of new students, the retention and success of current students and their implication for student load planning. The Senior Data Analyst provides functional and technical leadership and both strategic and transactional support and advice in relation to data analytics that enable evidence-based decision making.
What you'll be responsible for
- 💎
Insights Presentation
Organize and present data to effectively communicate findings
- 🗺
Data Governance
Contribute to the design, development, and deployment of data governance solutions
- 📶
Data Analysis and Reporting
Analyze data to discover and communicate insights, and offer concrete recommendations for key stakeholders to make critical decisions
Skills you'll need
- 🤓
Learning agility
Identifies and applies strategies to enhance reception, retention and use of newly acquired information, skills, and abilities
- 🧮
Numerical problem solving
Works with numerical information and performs mathematical calculations to solve problems
- 🔍
Attention to detail
Accurately identifies and rectifies discrepancies or errors that exists in information and deliverables