Live opening · Posted 6 days ago
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About the role
Description supplied by the original job listing.
We're working with a global financial services leader that provides a wide range of financial products and services, including consumer banking, credit, corporate and investment banking, securities brokerage, and wealth management.
This organisation is seeking a Data Quality Analyst to maintain the integrity of supervisory and transaction monitoring controls across global markets. You will oversee the full data quality lifecycle, ensuring data-driven decisions are built on a reliable and governed foundation.
The Role
Identify critical data elements and define data quality rules through structured SQL reviews
Monitor and perform root cause analysis on data quality exceptions, coordinating timely remediation
Manage and prioritise data-related risks, dependencies, and issues
Conduct ad-hoc data analysis to interrogate, reconcile, and validate datasets
Consult with business users to assess integration requirements and identify opportunities for system enhancements
Develop and implement mitigation strategies for identified data gaps and deficiencies
What You'll Need
Proficiency in SQL for complex data interrogation and structured data reviews
Experience in data quality management, including rule definition, threshold monitoring, and exception investigation
Ability to perform root cause analysis on data issues and translate findings into remediation actions
Understanding of risk and control frameworks and governance standards
Strong analytical capabilities for ad-hoc analysis and data reconciliation
Clear and confident communication skills to present findings to stakeholders
What's On Offer
A hybrid working model with flexibility and strong team connection
Exposure to complex, high-impact data and control challenges across global markets
Access to structured learning and development resources to advance your career
Opportunity to work across business, technology, and risk functions
Apply via Haystack today!
Work arrangement
Yes
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