Data Quality Specialist

The Job Description Monitor and assess data quality across multiple systems, databases, and data sources. Define and implement data quality rules, standards, and validation procedures. Identify, investigate, and resolve data quality issues and inconsistencies. Perform data profiling, cleansing, validation, and reconciliation activities. Develop and maintain data quality KPIs, dashboards, and regular reports. Conduct root-cause analysis for recurring data quality problems. Collaborate with Data Engineering, BI, IT, and Business teams to improve data accuracy and reliability. Support the development and implementation of data governance and data management practices. Ensure data meets defined business rules, standards, and regulatory requirements. Document data quality processes, rules, issues, and remediation procedures. Track data quality issues through resolution and follow up with relevant stakeholders. Contribute to continuous improvement of data quality frameworks and processes.

Requirements

• Bachelor s degree in Computer Science, Information Technology, Data Management, Business Analytics, Statistics, or a related field. 3 5 years of experience in Data Quality, Data Governance, Data Management, Business Intelligence, or a related field
• Strong knowledge of data quality concepts and dimensions such as: Accuracy , Completeness, Consistency, Validity, Uniqueness, Timeliness Strong SQL skills for data validation, analysis, and reconciliation
• Experience working with relational databases and large datasets
• Experience with data profiling and data cleansing techniques
• Good understanding of ETL/ELT processes and data integration concepts
• Familiarity with Data Governance and Master Data Management concepts is preferred
• Experience with BI/reporting tools such as Power BI is a plus
• Experience with data quality tools such as Informatica, Talend, Collibra, or similar platforms is a plus
• Strong analytical and problem-solving skills
• Good communication and stakeholder-management skills
• Ability to work effectively in an onsite environment