
Master Data Quality Analyst
At a Glance
- Category
- 💻 Technology
- Level
- Mid-Level
- Experience
- 5-7 years
- Type
- Contract
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Overview
The Master Data Quality Analyst is responsible for maintaining data accuracy, consistency, integrity, and compliance with established data quality standards. The role involves analyzing large datasets, identifying data discrepancies, supporting master data management and governance initiatives, and assisting in the maintenance of metadata repositories and business intelligence systems. The position also supports data quality reporting, dashboard maintenance, and the administration of BI tools to enable reliable, secure, and effective data-driven decision-making.
Key Responsibilities
- Monitor and analyze enterprise datasets to identify data quality issues, inconsistencies, discrepancies, and potential root causes.
- Support the development and implementation of master data management processes, data governance policies, standards, and procedures.
- Assist in establishing and maintaining data quality guidelines, metadata repositories, and data cataloguing practices.
- Contribute to the development and enforcement of data policies, standards, and best practices to ensure data consistency and integrity.
- Identify data quality gaps and coordinate corrective actions with relevant stakeholders to improve the reliability of business intelligence reports.
- Support the development, operation, and maintenance of dashboards, reports, and business intelligence solutions.
- Assist in configuring and administering BI tools, software, and related technology components to ensure operational efficiency.
- Manage BI user accounts, access permissions, and configurations in accordance with organizational roles and information security requirements.
- Provide technical support for BI tools, troubleshoot system issues, and assist in performance optimization activities.
- Ensure compliance with applicable information security, data privacy, and data management controls.
- Collaborate with the Master Data Quality Manager and other stakeholders to enhance data management practices and support informed business decision-making.
- Bachelor’s degree in Information Technology or a related discipline from a recognized and accredited university.
- 5–7 years of experience in data quality, master data management, data governance, business intelligence, or a related field.
- Experience in IT, data solutions, networking, cybersecurity, or information management is preferred.
- Knowledge of data quality management principles, master data management processes, metadata management, and data governance practices.
- Familiarity with business intelligence tools, dashboards, reporting systems, and data analysis techniques.
- Understanding of information security, data privacy, and access control principles.
- Strong analytical, problem-solving, and attention-to-detail skills.
- Proficiency in written and spoken English.
Preferred Certification
- Certified Data Privacy Solutions Engineer (CDPSE).
Requirements
- •Bachelor’s degree in Information Technology or a related discipline
- •5–7 years of experience in data quality, master data management, data governance, or business intelligence
- •Knowledge of data quality management principles
- •Knowledge of master data management processes and metadata management
- •Familiarity with business intelligence tools and reporting systems
- •Understanding of information security and data privacy principles
- •Strong analytical and problem-solving skills
- •Proficiency in written and spoken English
Nice to Have
- •Experience in IT, data solutions, networking, cybersecurity, or information management
- •Certified Data Privacy Solutions Engineer (CDPSE) certification
Responsibilities
- •Monitor and analyze enterprise datasets to identify quality issues and root causes
- •Support development of master data management processes and governance policies
- •Assist in maintaining data quality guidelines and metadata repositories
- •Contribute to the enforcement of data policies and best practices
- •Coordinate corrective actions with stakeholders to improve BI report reliability
- •Support development and maintenance of dashboards and BI solutions
- •Configure and administer BI tools and related technology components
- •Manage BI user accounts, access permissions, and security configurations
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