Macquarie University

Data Analyst

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  • 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.

  • 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 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

  • 🧩

    Data Cleaning and Preparation

    Extract and clean data ready to use in analysis or to users

  • 📶

    Data Analysis and Reporting

    Analyze data to discover and communicate insights, and offer concrete recommendations for key stakeholders to make critical decisions

  • 📊

    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

  • 🤓

    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

Meet the team

Data

Macquarie University