Data Quality Analyst
CUBE (company site, opens in a new tab)PuducherryHybridDirect career pageEst. 5–9 LPA
Posted on 2 Sept
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Job description
Structured overview of role & requirements
About This Role
- Ensure accurate, complete, and reliable data underpinning CUBE’s regulatory intelligence product through data profiling, quality rule design, and monitoring scorecards.
- Investigate and resolve data quality issues including root cause analysis, controlled corrections, and remediation across MSSQL databases and ETL pipelines in compliance with governance and audit requirements.
- Collaborate across technology, product, operations, and compliance teams to implement data ingestion improvements, support AI-enabled monitoring tools, and maintain documentation aligned with regulatory standards.
Minimum Requirements
- Experience in data quality, data operations, or BI/MDM environments; financial services experience advantageous.
- Hands-on proficiency with MS SQL Server including DDL/DML/TCL commands, advanced Excel, and experience with SSIS or similar ETL tools.
- Relevant degree in data, IT, business, or related field or equivalent experience.
- Knowledge of data governance principles and data quality tooling; certifications (e.g., DAMA/CDMP, Microsoft) are a plus.
Ideal Candidate Profile
- Analytical professional skilled in SQL and ETL workflows who can independently identify, triage, and remediate data issues to improve data quality metrics.
- Experienced in working under data governance and regulatory compliance frameworks, capable of maintaining traceability and audit-ready documentation.
- Comfortable adopting AI-enabled tools for monitoring and automation to increase efficiency and data accuracy.