Macquarie University

Senior Data Analyst

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  • Data and Analytics

  • Full-time

  • Office | Sydney, Australia

  • Visa sponsorship ยท No

  • Mid Level ยท 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 ยท 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

  • ๐Ÿ’Ž

    Insights Presentation

    Organize and present data to effectively communicate findings

  • ๐Ÿ—บ

    Data Governance

    Contribute to the design, development, and deployment of data governance solutions

  • ๐Ÿ“ถ

    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

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    Learning agility

    Identifies and applies strategies to enhance reception, retention and use of newly acquired information, skills, and abilities

  • ๐Ÿงฎ

    Numerical problem solving

    Works with numerical information and performs mathematical calculations to solve problems

  • ๐Ÿ”

    Attention to detail

    Accurately identifies and rectifies discrepancies or errors that exists in information and deliverables

Meet the team

Data

Macquarie University