Data Quality Analyst
Job Summary: We are seeking for a Data Quality Analyst to ensure reliability, accuracy, and consistency of datasets used for Artificial Intelligence training and business intelligence systems. The role focuses on auditing datasets, identifying anomalies, resolving inconsistencies, and maintaining high-quality data standards. You will assess dataset completeness, labeling accuracy, formatting consistency, and compliance with project guidelines. This role is essential in preventing model bias, improving prediction reliability, and maintaining trustworthy AI systems.
Key Responsibilities
- Audit datasets for quality and consistency.
- Identify data errors and anomalies.
- Validate annotations and labeling accuracy.
- Develop data quality checks and validation rules.
- Monitor dataset integrity across projects.
Job Requirements
- Bachelor's Degree in Data Science, Statistics, Computer Science, Information Systems, or related field.
- Must possess a Data validation and auditing skills.
- Knowledge of data governance concepts.
- Data Quality Management Certification (advantage)
- Must be certified as a Google Data Analytics Certification or Microsoft Data Fundamentals, Data Governance or Data Management Certification (optional)
- 3-5 years experience in data quality, analytics, or data operations.
