Macquarie Group
Data Management Analyst
2 months ago
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Important information
Contract type:
Permanent
Location:
Indonesia
Work mode:
Onsite
Published on:
18 August 2026
What they need
Additional office locations
Sydney
Job ID
23601
Date
18-Aug-2026
Permanent - Full time, Junior, Mid-level
Job category
Technology - Data Steward / Governance
As a Data Governance Analyst in our Group Data Office, you will help turn enterprise data management requirements into clear and practical guidance for Financial Management, People and Engagement. You will work with divisional teams to understand data risk in our key business processes, support framework-based prioritisation, and help teams interpret what Data Management Standard requirements mean in practice. The role will involve working through ambiguity, asking good questions, documenting guidance, and supporting stakeholders to use Collibra as Macquarie’s enterprise governance tool. As we continue to build more scalable and automated ways to manage data, you will also help test, shape and embed new capabilities over time. You will help represent the divisions needs in enterprise discussions and contribute to practical solutions that make data management requirements easier for teams to understand and apply.
As a Data Governance Analyst in our Group Data Office, you will help turn enterprise data management requirements into clear and practical guidance for Financial Management, People and Engagement. You will work with divisional teams to understand data risk in our key business processes, support framework-based prioritisation, and help teams interpret what Data Management Standard requirements mean in practice. The role will involve working through ambiguity, asking good questions, documenting guidance, and supporting stakeholders to use Collibra as Macquarie’s enterprise governance tool. As we continue to build more scalable and automated ways to manage data, you will also help test, shape and embed new capabilities over time. You will help represent the divisions needs in enterprise discussions and contribute to practical solutions that make data management requirements easier for teams to understand and apply.
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