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Mid-level experience, metro location, and generalist data-quality skills increase applicant competition.
Data quality skills are broadly transferable across industries, so background fit sensitivity is low.
Explicit 2+ years requirement plus mandatory SQL and data-quality tools enforces moderate shortlisting strictness.
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Identify, analyze, and report data quality issues across multiple systems and data sources.
Monitor and track data quality KPIs such as completeness, accuracy, timeliness, and consistency, driving improvements.
Collaborate with cross-functional teams to implement data quality checks, cleansing activities, root cause analysis, and automated quality processes.
Bachelor’s degree in data management, Information Systems, Computer Science, Statistics, or related field.
Minimum 2+ years of experience in data quality analysis, data management, or data governance.
Proficiency with data profiling, cleansing, and validation tools (e.g., Informatica Data Quality, Talend, Microsoft Purview, Trillium).
Strong SQL skills for querying and analyzing large datasets.
Experienced in managing data quality dimensions including accuracy, completeness, consistency, uniqueness, and timeliness.
Practiced in root cause analysis and implementing long-term data quality solutions in collaboration with technical and business teams.
Familiar with data visualization tools (Tableau, Power BI), data governance frameworks, and cloud data environments (AWS, Azure, Google Cloud).