Data Quality Analyst
CUBE· Technology Operations
Hybrid (Pondicherry)Full-timePosted 1mo ago
About the role
The Data Quality Analyst ensures the accuracy, completeness, and reliability of data underpinning Cube’s product, regulatory compliance, reporting, analytics, and automated decisioning. They identify, investigate, and resolve data quality issues across key systems, applying governance standards and remediation actions, while supporting AI-enabled monitoring and data pipeline improvements.
Responsibilities
- Profile data, design and execute data quality rules, and monitor scorecards and dashboards to identify issues, trends, and areas requiring corrective action.
- Investigate data anomalies and root causes using Excel, MSSQ and SSIS, assessing the impact of data issues and determining appropriate remediation steps against the production golden data source and LIVE customer facing databases
- Apply controlled corrections to data where required, ensuring changes are accurate, authorised, traceable, and completed in line with agreed governance standards, approval processes, and audit requirements.
- Design and implement improvements to the existing data ingestion pipelines and post load validation to increase efficiency and reduce risk of pipeline failures.
- Support remediation activity through SSIS/ETL workflows, working with technology teams to ensure data fixes are implemented safely and consistently across relevant systems.
- Maintain documentation for data quality rules, thresholds, lineage, controlled correction procedures, remediation actions, and operating processes.
- Collaborate with business, technology, and compliance teams to align data quality activity, remediation approaches, and controlled data corrections with regulatory and operational needs.
Qualifications
- Experience in data quality, data operations, or BI/MDM within data critical environments (financial services advantageous).
- Handson exposure to MS SQL Server, Excel, and familiarity with SSIS or similar ETL tools.
- Knowledge of data governance principles; experience with DQ tooling and/or data catalogues desirable.
- Relevant degree (data, IT, business, or related) or equivalent experience; certifications (e.g., DAMA/CDMP, Microsoft) a plus.
Skills
Required:Data quality rule design and profilingData anomaly investigationSQL and ETL tooling
Last updated Sep 2, 2026. Interested? Apply on the company site.
About CUBE
Transforming Regulatory Compliance | Reduce Risk & Increase Efficiency with our Compliance Automation Solutions
CUBE offers automated regulatory intelligence solutions & services for global compliance, helping enterprises & midmarket businesses manage regulatory change.
regulatorycomplianceAIregtechregulatory change management
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