Data Governance & Quality Analyst
New
J
JobgetherData Governance
Based in United StatesFull-TimeMiddle
Salary90,000 - 120,000 USD per year
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Job Details
- Languages
- English
- Experience
- 5–7 years
- Required Skills
- Data modeling
Requirements
- Bachelor’s degree.
- 5–7 years of experience in data governance, data quality, master data management, or a related field.
- Experience implementing data quality practices, including monitoring, rules development, and issue remediation.
- Understanding of Master Data Management (MDM) concepts, including domains, hierarchies, and reference data.
- Ability to analyze datasets and identify data issues using querying tools and analytical methods.
- Experience developing or supporting dashboards and reporting solutions for data insights.
- Experience collaborating with business and IT stakeholders to understand data needs and resolve data-related challenges.
- Working knowledge of data models, data marts, and data warehousing concepts.
- Strong ability to communicate technical data concepts clearly to business audiences.
- Experience with data governance or data management platforms such as Informatica, Collibra, or Alation (preferred).
- Certifications such as CDMP, DAMA, or other data governance/data quality certifications (preferred).
- Excellent written and verbal English communication skills.
Responsibilities
- Support the implementation of data quality frameworks, including rules, standards, monitoring processes, and remediation activities.
- Partner with business, IT, and data teams to identify, analyze, track, and resolve data quality issues.
- Develop and maintain data quality dashboards and reporting solutions to communicate trends, progress, and improvement opportunities.
- Analyze datasets to identify inconsistencies, gaps, and opportunities for data enhancement.
- Support the identification and management of key master data domains, including documentation of data usage across systems.
- Assist with data ownership and stewardship activities by helping define roles, responsibilities, and governance processes.
- Contribute to improving master data management processes, including data creation, updates, and change management workflows.
- Help align data definitions, structures, and values across enterprise systems.
- Support planning, execution, and delivery of data governance projects and continuous improvement initiatives.
- Identify opportunities to streamline, automate, and enhance data quality and governance processes.
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