Data Quality Analyst – Data Governance (AI‑Ready Data) Job ID: Overview Zurich Canada seeks a Data Quality Analyst to monitor, measure, and improve data quality across critical data domains, using both traditional and AI‑assisted techniques. The role supports governance oversight, regulatory compliance, and responsible AI adoption. Reporting The successful candidate will report to the Data Platform Leader and execute data quality controls under the enterprise Data Governance Framework and MR5f Data Management Risk Policy, ensuring data is AI‑ready, trusted, and fit for advanced analytics. What you will do Data Quality Control Execution (MR5f) Implement and operate data quality controls (profiling, validation, reconciliation) in accordance with governance standards and thresholds. Measure and monitor data quality dimensions including accuracy, completeness, consistency, timeliness, and fitness for use. Produce KPIs and metrics required for MR5f governance reporting and dashboards. AI Ready Data & Advanced Quality Techniques Apply AI‑assisted data quality capabilities (e.g., automated profiling, anomaly detection, rule generation) to improve coverage, efficiency, and early detection of data quality risks. Assess data readiness for analytics and AI use cases by identifying issues related to bias, completeness, consistency, and semantic clarity. Partner with Data Stewards, Engineers, and Analytics teams to embed quality controls upstream in pipelines supporting AI and advanced analytics. Issue Management, Evidence & Risk Escalation Identify, document, and track data quality issues, including root‑cause analysis and remediation status. Provide evidence of control operation to support audits, MR5f risk reviews, and AI governance assessments. Escalate material issues through defined governance channels; does not independently accept data or AI risk. Metadata, Lineage & Transparency Maintain operational metadata, data quality rules, and issue logs for assigned data domains. Support enrichment of metadata and lineage to improve discoverability, explainability, and trust for analytics and AI consumption. Ensure findings are traceable to systems, pipelines, and business definitions. Required Qualifications Bachelor’s degree in Data Management, Analytics, Computer Science, Information Systems, or a related field. 3–6 years of experience in data quality, data governance, analytics, or data management roles. Preferred Qualifications Strong SQL and data analysis skills across large, complex datasets. Solid understanding of enterprise data quality concepts and control‑based operating models. Experience with AI‑assisted or automated data quality tools (e.g., automated profiling, anomaly detection, rule suggestion). Understanding of data preparation requirements for analytics and AI use cases. Familiarity with metadata management, data lineage, and data catalog practices. Ability to collaborate effectively with data engineering, analytics, and governance teams supporting AI initiatives. Salary Salary range: $65,000 – $90,000 per year. Compensation may vary based on location, responsibilities, and individual qualifications. Culture & Benefits Diversity, Inclusion, Equity and Belonging (DIEB) initiatives create a welcoming environment. Four weeks of vacation and four personal days per year. Comprehensive health benefits with varying coverage levels. Continuous improvement and training opportunities. Competitive compensation and recognition as a top employer. About Zurich Canada Zurich Canada is part of the Zurich Insurance Group, serving clients in global and local markets for over 100 years. With 650 employees nationwide, we offer strong industry knowledge and local expertise. EEO and Accessibility Zurich Canada is committed to pay equity and diversity. We provide accommodations for applicants with disabilities. For privacy and data‑protection preferences, please see our policy. Apply To apply, visit the job portal at and submit your application. #J-18808-Ljbffr