CUBE is hiring a Data Quality Analyst to maintain 95–98%+ QA accuracy, complete reviews within SLAs, identify recurring quality issues, support automation, and improve QA documentation. The role analyzes data sets for inconsistencies and anomalies, implements data quality controls and automated checks, collaborates with data governance teams, and requires two years of experience working with stakeholders to understand data requirements and meet quality assurance objectives.
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regulatory data
CUBE combines AI-native technology with global regulatory data and proprietary network data to help customers gather deep intelligence and automate compliance and risk processes. CUBE processes 10 million data points annually, monitors 750 countries and territories, and has 250 in-house regulatory experts.