Data Quality Analyst

About the role

We are looking for a Data Quality Analyst to ensure the reliability, accuracy, and consistency of datasets used for AI training and business intelligence. The role focuses on auditing data, identifying anomalies, and maintaining high-quality standards to prevent model bias and improve prediction reliability.

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.

Required profile

• Bachelor’s degree in Data Science, Statistics, Computer Science, Information Systems, or a related field.
• 3-5 years of experience in data quality, analytics, or data operations.
• Strong data validation and auditing skills.
• Knowledge of data governance concepts.
• Relevant certifications (e.g., Data Quality Management, Google Data Analytics, Microsoft Data Fundamentals) are a plus.

Required skills

• Data validation
• Data auditing
• Data governance