Data Quality Analyst

Gold is hiring a Data Quality Analyst to validate data, identify recurring quality gaps, and investigate defects and process-performance trends. The role also involves defining practical checks, documenting procedures and issues, and tracking corrective actions and their impact.

Responsibilities:

• Follow up on agreed corrective actions and measure whether changes improve the targeted outcome
• Keep clear records of assumptions, limitations, and unresolved issues
• Examine current processes or datasets to identify recurring errors, delays, handoff problems, or quality gaps
• Define and apply practical checks that make important exceptions visible
• Examine trends in defects or process performance and trace likely causes using available evidence
• Record current procedures, proposed changes, and the expected impact of an improvement

Requirements:

• Working familiarity with Data Quality, Excel, and SQL
• Ability to use Reporting and Validation with care and accuracy
• Good writing skills, reliable documentation habits, and careful review of details
• Sound organization, careful adherence to procedures, and the judgment to request missing details
• Ability to manage individual responsibilities while coordinating through shared online tools