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Senior Data Quality Analyst | Banking | Sydney CBD We are seeking a Senior Data Quality Analyst to join a high-profile, large-scale data migration program for a leading bank. This is a hands-on execution role focusing on customer data, product arrangements, and complex validation within a Product Model framework. Location: Sydney CBD (Hybrid - 3 days in office) | Permanent Role The Role Working closely with the Data Quality Delivery Lead, you will ensure the integrity of data moving through a complex migration lifecycle. You’ll be the bridge between Business, Tech, and Operations to ensure data is 'fit for purpose.' Data Validation: Perform individual record validation and volumetric analysis on customer and banking product data. Technical Execution: Drive data profiling, defect triage, and remediation tracking. Coordination: Manage technology release activities and ensure evidence is produced for migration milestones. Governance: Develop DQ rules, validation evidence, and reporting packs for executive stakeholders. Technical Toolkit SQL & Python: Strong capability for data manipulation and analysis. Visualization: Power BI for DQ reporting and dashboards. Cloud: Experience working within Azure Cloud environments. Tooling: Informatica Data Quality (IDQ) is highly regarded (nice to have). Your Background Banking Experience: Deep understanding of banking products, customer data, and regulated environments is a significant plus. Migration Expertise: Proven track record in large-scale data migration or transformation programs. Data Modeling: Familiarity with Common Product Models and complex product arrangements. Delivery Focus: Comfortable navigating ambiguity and working in a fast-paced, structured delivery environment. ... Let's connect if this role aligns well with you !! Click Apply !! At Randstad, we are passionate about providing equal employment opportunities and embracing diversity to the benefit of all. We actively encourage applications from any background.
Job Responsibility:
Data Validation: Perform individual record validation and volumetric analysis on customer and banking product data
Technical Execution: Drive data profiling, defect triage, and remediation tracking
Coordination: Manage technology release activities and ensure evidence is produced for migration milestones
Governance: Develop DQ rules, validation evidence, and reporting packs for executive stakeholders
Requirements:
Banking Experience: Deep understanding of banking products, customer data, and regulated environments is a significant plus
Migration Expertise: Proven track record in large-scale data migration or transformation programs
Data Modeling: Familiarity with Common Product Models and complex product arrangements
Delivery Focus: Comfortable navigating ambiguity and working in a fast-paced, structured delivery environment
SQL & Python: Strong capability for data manipulation and analysis
Visualization: Power BI for DQ reporting and dashboards
Cloud: Experience working within Azure Cloud environments
Education: Bachelor Degree
Nice to have:
Informatica Data Quality (IDQ) is highly regarded (nice to have)