Data Quality Analyst

Responsibilities:

• Evaluate and oversee data accuracy, completeness, consistency, and reliability across various systems and databases.
• Apply data quality standards, validations, and checks to ensure high data integrity.
• Detect anomalies, inconsistencies, and errors in data, collaborating with relevant teams to resolve them.
• Conduct data profiling to identify patterns, trends, and potential quality concerns.
• Analyze large datasets to verify compliance with data quality benchmarks.
• Design and maintain dashboards and reports to track and communicate key data quality metrics.
• Support data governance efforts by documenting data definitions, best practices, and standards.
• Ensure adherence to industry regulations regarding data security and quality.
• Work closely with stakeholders to establish and enforce data quality policies.
• Develop and implement data cleansing strategies to standardize, correct, and enhance data.
• Automate data quality processes using SQL, Python, or other data management tools.
• Collaborate with data engineers to establish robust data validation frameworks.
• Partner with business analysts, IT teams, and data engineers to maintain high-quality data for analytics and reporting.
• Document data quality issues, corrective actions, and best practices for future reference.
• Provide training and support to business users on maintaining data quality standards.

Qualifications:

Required:

• Experience in data quality testing.

Preferred:

• Data governance advisory experience
• Foundational certification in Azure or another cloud data platform