Data Quality Business Analyst

As a Data Quality Analyst, you will play a key role in strengthening and enhancing data quality across Macquarie's Banking and Financial Services business. Working closely with business stakeholders, data teams, and engineers, you will translate business requirements into effective data quality rules and controls, ensuring critical data is accurate, reliable, and fit for purpose.

You will partner with stakeholders to assess the impact and feasibility of data quality enhancements, support the prioritisation and delivery of improvements, and help identify and resolve complex data issues through detailed root cause analysis. You will also contribute to testing and validation activities, ensuring new and updated data quality controls, monitoring solutions, and reporting tools are successfully implemented before release. In addition, you will drive continuous improvement initiatives by leveraging automation and advanced AI-enabled tools to monitor data quality at scale, streamline processes, and improve operational efficiency. You will maintain clear documentation of data quality rules, data lineage, and business requirements, supporting strong data governance practices and compliance with regulatory and audit requirements.

As a Data Quality Analyst, you will play a key role in strengthening and enhancing data quality across Macquarie's Banking and Financial Services business. Working closely with business stakeholders, data teams, and engineers, you will translate business requirements into effective data quality rules and controls, ensuring critical data is accurate, reliable, and fit for purpose.

You will partner with stakeholders to assess the impact and feasibility of data quality enhancements, support the prioritisation and delivery of improvements, and help identify and resolve complex data issues through detailed root cause analysis. You will also contribute to testing and validation activities, ensuring new and updated data quality controls, monitoring solutions, and reporting tools are successfully implemented before release. In addition, you will drive continuous improvement initiatives by leveraging automation and advanced AI-enabled tools to monitor data quality at scale, streamline processes, and improve operational efficiency. You will maintain clear documentation of data quality rules, data lineage, and business requirements, supporting strong data governance practices and compliance with regulatory and audit requirements.