Analytics Data Quality Specialist

Strengthen analytics trust through data quality, metric governance, and reconciliation while partnering with stakeholders in an Agile delivery environment.

This Data Analyst role focuses on making reporting and data products reliable, understandable, and auditable. You will define metric logic, document lineage, implement automated validation, and monitor anomalies. You will also own UAT and communicate findings to technology and business partners.

Key Responsibilities:

• Define metric logic, mappings, lineage, and validation tests
• Implement automated tests, reconciliation scripts, and anomaly detection
• Monitor data quality and establish alerting processes
• Create UAT plans, execute tests, and recommend outcomes
• Document designs, code, acceptance testing, and results

Requirements:

• Deep expertise in Python and SQL
• Experience building data quality checks and reconciliation scripts
• Understanding of metric development, lineage, and validation
• Strong written and verbal communication skills
• Proficiency in Microsoft Word, Excel, and PowerPoint

Use Python, SQL, metric governance, and testing expertise to improve confidence in reporting and data products.