Data Quality Specialist

Job Responsibilities

• Aid in the creation of an enterprise data quality program across established data domains by defining standards, controls, and shared expectations for Critical Data Elements (CDEs), metrics, regulatory reporting, operational performance, and AI-ready data.
• Analyze data quality using advanced tools and techniques to assess completeness, accuracy, consistency, and timeliness.
• Implement data cleansing projects and strategies to resolve identified data quality issues and discrepancies.
• Investigate and resolve data quality issues in collaboration with relevant stakeholders.
• Work with IT and business teams to address underlying issues and implement corrective actions through root-cause analysis.
• Prepare reports on data quality metrics, trends, and issues for management and business stakeholders.
• Provide guidance, mentorship, and training to business and IT team members regarding data quality standards and best practices.

Required Education & Experience

• Bachelor’s degree in Computer Science, Information Systems, Data Management, Statistics, or a related field; equivalent combinations of education and relevant experience may be considered.
• 3–5+ years of experience in Data Quality within complex or federated data governance environments, implementing enterprise data quality programs, policies, standards, and controls across multiple domains.
• 3–5+ years of experience working with data quality tools such as Informatica Data Quality, Collibra, Precisely Data Quality 360, Talend, Ataccama, or similar platforms.
• Advanced SQL skills for querying and interpreting data structures, applying validation logic, and analyzing profiling and anomaly detection outputs.
• Experience with data governance platforms such as Informatica Data Governance & Catalog, Collibra Catalog, Alation Data Governance, or Microsoft Purview.
• Experience using cloud platforms; Google Cloud Platform Dataplex preferred.
• Experience creating data quality dashboards and KPIs using BI analytics tools, with Power BI preferred.
• Working knowledge of data lineage and impact analysis concepts and tools.
• Strong ability to influence cross-functional stakeholders across analytics, IT, and operations teams.
• Excellent communication skills.

Preferred Qualifications

• Experience in manufacturing or wholesale distribution environments.
• Experience working within Agile project management methodologies.