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

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
Robust 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.
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📌 Analytics Data Quality Specialist Toronto (Canada)
🏢 Inizio Partners
📍 Canada