Senior Manager- Data Quality Engineer
13 hours ago
Key Responsibilities:
Developing and Implementing Data Quality Standards:
Establishing and enforcing data quality rules and procedures to ensure data accuracy, consistency, and completeness.
Managing Data Quality Projects:
Leading and overseeing projects aimed at improving data quality, including defining project scope, timelines, and resource allocation.
Leading Data Quality Teams:
Providing guidance, mentorship, and performance management to data quality analysts and other team members.
Monitoring Data Quality:
Continuously monitoring data quality metrics, identifying data quality issues, and tracking their resolution.
Data Validation and Cleansing:
Developing and implementing data validation rules and solutions to identify and correct data errors and inconsistencies.
Data Quality Reporting:
Generating reports on data quality metrics and trends for stakeholders.
Collaboration and Communication:
Working with various stakeholders, including data owners, data users, and IT teams, to address data quality issues and ensure data quality standards are met.
Continuous Improvement:
Identifying opportunities to improve data quality processes, tools, and methodologies.
Required Skills:
Data Quality Expertise:
Strong understanding of data quality principles, data governance, and data management processes.
Analytical and Problem-Solving Skills:
Ability to analyze complex data sets, identify patterns, and resolve data quality issues.
Communication and Collaboration Skills:
Ability to effectively communicate with stakeholders, collaborate with cross-functional teams, a
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