The Data Quality Lead Analyst contributes to efforts to ensure data that is sourced and provisioned meet all required data quality standards. The Data Quality Lead
Analyst leads the continuous Data Quality by assessing, evaluating and analyzing data, setting controls and guidelines for measurement, evaluation,
adoption and communication of Data Quality and Data Quality risk. They collaborate with others to monitor and remediate data concerns.
Required Skills:
Experience with Ab Initio Metadata Hub for metadata management, schema customization, and metadata extraction.
Familiarity with Application Governance principles and integration with metadata management tools.
Proficiency in using Control>Center for job scheduling, monitoring, and automation.
Hands-on experience with Semantic Discovery for data profiling, analysis, and metadata enrichment.
Ability to review, approve, and manage metadata proposals using the Metadata Portal.
Strong understanding of data governance, data modeling, and metadata-driven workflows.
For more information, see the following:
- Understanding of metadata management concepts and data modeling.
- Familiarity with Metadata Hub schemas (object model, metamodel, view model).
- Ability to customize and extend Metadata Hub schemas to meet organizational requirements.
- Experience with the Metadata Portal for viewing, reporting, and analyzing metadata.
- Skills in extracting metadata from various sources (Mainframe, SAS, Ab Initio , Oracle, Teradata, Hive, SQL Server, Erwin, Cognos , Tableau ..etc.) and loading it into Metadata Hub.
- Ability to write Ab initio extractor graphs using webservice, Transform, Translate components for metadata ingestion.
- Experience monitoring and managing jobs using Control>Center.
- Understanding of job schemas, job definitions, and job metrics.
- Ability to automate and schedule analysis jobs and interpret job status and metrics.
- Familiarity with integrating Semantic Discovery with Control>Center for automated workflows.
- Knowledge of profiling and analyzing datasets to propose metadata linkages.
- Experience running and tuning Semantic Discovery plans (Profile Data, Analyze Data, Load Metadata Hub).
- Ability to review and approve field-to-business-concept linkages using the Metadata Portal.
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Job Family Group:
Data Governance------------------------------------------------------
Job Family:
Data Quality & Data Quality Analytics and Reporting------------------------------------------------------
Time Type:
Full time------------------------------------------------------
Most Relevant Skills
Change Management, Data Analysis, Data Governance, Data Lineage, Data Management, Data Quality, Internal Controls, Management Reporting, Program Management, Risk Management.------------------------------------------------------
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
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