Data Quality Analyst

About the role

The Data Quality Analyst will ensure the accuracy, completeness, consistency and reliability of data across the organization’s systems and reporting environments. You will work closely with multiple business units to identify data issues, investigate root causes and support continuous improvement initiatives.

Key responsibilities

• Review datasets and perform data validation checks to detect inconsistencies, duplicates and missing values.
• Develop and execute data quality rules based on business requirements and monitor key data quality indicators.
• Prepare regular reports highlighting data quality trends, exceptions and remediation progress.
• Collaborate with data, technology, finance, compliance and operations teams to investigate issues and implement corrective actions.
• Maintain data quality documentation, update validation rules and support data governance initiatives.
• Contribute to defining data standards, business rules and quality thresholds.

Required profile

• Detail‑oriented and analytical mindset with strong problem‑solving abilities.
• Excellent communication skills to convey findings to both technical and non‑technical stakeholders.
• Bachelor’s degree or equivalent in Data Analytics, IT, Computer Science, Statistics, Mathematics, Business Analytics or a related field.

Required skills

• SQL (basic to intermediate) and relational database concepts.
• Microsoft Excel or Google Sheets for data manipulation.
• Data visualization tools such as Power BI, Tableau or Looker.