Macquarie University
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
Junior · A role for someone with some basic skills, good motivation and ability to learn. Typically 1-2 years of experience is required.
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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 Data Analyst, Student Experience Program plays a key role in project delivery in a matrixed team environment. Your responsibilities will include working on innovative projects that leverage data to inform evidence-based decisions. The Data Analyst is responsible for gathering and analysing data, communicating findings, and developing actionable recommendations to support the design and implementation of the Education Strategy.
What you'll be responsible for
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Data Cleaning and Preparation
Extract and clean data ready to use in analysis or to users
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Data Analysis and Reporting
Analyze data to discover and communicate insights, and offer concrete recommendations for key stakeholders to make critical decisions
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Data Management and Visualization
Create and maintain the organization’s Business Intelligence tools, and present complex data in simple, visual ways for key stakeholders
Skills you'll need
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Learning agility
Identifies and applies strategies to enhance reception, retention and use of newly acquired information, skills, and abilities
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Numerical problem solving
Works with numerical information and performs mathematical calculations to solve problems
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Attention to detail
Accurately identifies and rectifies discrepancies or errors that exists in information and deliverables
Meet the team
