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
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.
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).
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.
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.
