Data Quality Analyst

Purpose:Ensures accuracy, consistency, and reliability of datasets used in AI, analytics, and business intelligence initiativesResponsibilities:Monitor and validate data quality across critical systems; Design and implement data quality rules and validation routinesInvestigate and resolve data inconsistencies and anomaliesCollaborate with data owners and engineers to implement corrective actions; Generate quality metrics and dashboards to track improvementsRequirements:Degree in Computing, Engineering, Computer Science, Machine Learning or AI with 3 - 5 years relevant experienceExperience with data profiling, cleansing, and validation tools; Knowledge of SQL, Python, and data pipeline frameworksUnderstanding of data governance, lineage, and control frameworksStrong analytical and investigative skills; Attention to detail and root cause analysis mindset