
Improving Data Integrity
1 day ago
We are seeking a highly skilled Data Quality Manager to join our team in Sydney. As a key member of the team, you will play a pivotal role in managing, monitoring, and improving data quality across Banking and Financial Services using automation and AI.
About the Role- Develop robust data quality frameworks to ensure data integrity and compliance.
- Collaborate with cross-functional teams to define requirements and drive initiatives for continuous improvement.
- Design and implement automated data quality monitoring solutions and dashboards for critical data elements.
You will be part of a friendly and supportive team where everyone contributes ideas and drives outcomes. Our focus is on bringing together diverse people and empowering them to shape possibilities.
Required Skills and Qualifications- Proven experience designing and implementing data quality rules and validation frameworks within complex data pipelines.
- Advanced technical skills in Python, SQL, and Alteryx, with the ability to deploy scalable automated data quality solutions.
- Strong analytical skills with the ability to identify, analyze, and resolve intricate data quality issues through root cause analysis and innovative problem-solving.
We are a global financial services group operating in 31 markets with 56 years of unbroken profitability. We are committed to fostering a diverse, equitable, and inclusive workplace.
We welcome further discussions on how you can feel included and belong as you progress through our recruitment process.
Seniority Level- Mid-Senior level
- Full-time
- Information Technology
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