Data Quality Analyst

Stellar Recruitment Inc.; Burnaby; On-site; CAD 96,000 - 117,000; Full time

Job summary

Stellar Recruitment Inc. in Burnaby is seeking an experienced Data Quality Analyst to support enterprise data management practices and improve data quality, reliability, and integrity. You will assess critical data assets, establish data quality standards, and drive continuous improvement initiatives.

This role reports to the Manager of Data Governance. Responsibilities include developing data quality rules, monitoring scorecards, and partnering with business and technical teams to remediate

Qualifications

• 5+ years of experience in data quality, governance, or enterprise data management.
• Strong understanding of data profiling, validation, monitoring, and remediation.
• Experience developing data quality rules, metrics, scorecards, and monitoring frameworks.
• Proficiency with SQL and BI/reporting tools.
• Excellent analytical and stakeholder engagement skills.

Responsibilities

• Develop and implement enterprise data quality standards, frameworks, processes, and controls, ensuring alignment with broader data governance practices.
• Profile, assess, and monitor enterprise data assets to identify quality issues, trends, inconsistencies, and opportunities for improvement.
• Develop and maintain data quality rules, business rules, metrics, thresholds, and performance measures for critical data elements and enterprise data assets.
• Investigate data quality issues, conduct root cause analysis, and collaborate with business and technical teams to develop and implement remediation strategies.
• Establish and maintain data quality monitoring processes, scorecards, dashboards, and reporting mechanisms to measure performance and track improvements.
• Engage with business stakeholders to define data quality requirements, promote accountability, support continuous improvement, and provide guidance on data quality standards and best practices.

Job description

Our client is seeking an experienced Data Quality Analyst to support the development and advancement of enterprise data management practices, with a focus on improving the quality, reliability, and integrity of organizational data. Reporting to the Manager of Data Governance, this role will assess and monitor critical data assets, identify quality gaps, establish data quality standards, and drive continuous improvement initiatives. Working closely with business and technical stakeholders, the successful candidate will help implement sustainable data quality processes, strengthen data accountability, and build confidence in enterprise data to support informed business decisions.

Responsibilities

• Support the development and implementation of enterprise data quality standards, frameworks, processes, and controls, ensuring alignment with broader data governance practices.
• Profile, assess, and monitor enterprise data assets to identify quality issues, trends, inconsistencies, and opportunities for improvement.
• Develop and maintain data quality rules, business rules, metrics, thresholds, and performance measures for critical data elements and enterprise data assets.
• Investigate data quality issues, conduct root cause analysis, and collaborate with business and technical teams to develop and implement remediation strategies.
• Establish and maintain data quality monitoring processes, scorecards, dashboards, and reporting mechanisms to measure performance and track improvements.
• Engage with business stakeholders to define data quality requirements, promote accountability, support continuous improvement, and provide guidance on data quality standards and best practices.

Qualifications

• Degree in Information Management, Business, Computer Science, Data Analytics, or a related discipline; an equivalent combination of education and experience may be considered.
• Minimum of five years of directly relevant experience in data quality, data governance, or enterprise data management within complex business environments.
• Strong understanding of data quality management principles, methodologies, and best practices, including data profiling, validation, monitoring, and remediation.
• Demonstrated experience developing data quality rules, business rules, metrics, scorecards, and monitoring frameworks, with the ability to perform root cause analysis and recommend improvements.
• Strong knowledge of enterprise data management concepts, including data governance, metadata management, master data, data architecture, data integration, and data lifecycle management; proficiency with SQL and BI/reporting tools.
• Excellent analytical, problem-solving, and stakeholder engagement skills, with the ability to communicate findings and recommendations to both technical and non-technical audiences.

Pay: $70-85 per/hour incorporated based on a 7-month contract

Please note that the posted pay range for this role may vary based on seniority, qualifications, or prior experience.