Data quality analyst (zapopan)

Responsibilities Data Validation and Testing: Design, develop, and execute comprehensive data quality tests to identify inconsistencies, inaccuracies, and anomalies in our data sets. Root Cause Analysis: Investigate data quality issues by conducting thorough root cause analyses and implementing corrective actions to address the underlying causes. Data Profiling and Quality Metrics: Perform data profiling to evaluate and monitor the health of critical data sets and establish key quality metrics to track improvements over time. Collaboration with Data Teams: Work closely with data engineers, scientists, and product owners to define and enforce data quality standards, ensuring alignment across teams and data initiatives. Automate Data Quality Processes: Develop automated scripts and validation tools to streamline the quality assurance processes and provide continuous monitoring of key data sets. Documentation and Reporting: Maintain comprehensive documentation of data quality issues, vali...

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