Data Quality Analyst
Victoria, British Columbia • Contract • November 12, 2026 • 91507
Job Title: Data Quality Analyst
Job ID: 91507
Location: 1-2 days per week on site in Burnaby Head Office
Pay Range: CAD $80 per hour
Overview:
Our Client is seeking a Data Quality Analyst to support the organization's data strategy by improving the quality, reliability, and trustworthiness of enterprise data assets. Reporting functionally to the Manager, Data Governance, this position is responsible for assessing, monitoring, and enhancing data quality across business domains, enabling informed decision-making and operational excellence. Working collaboratively with business and technical stakeholders, the successful candidate will help establish sustainable data quality practices and foster confidence in organizational data.
What you will be doing
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Support the development and implementation of enterprise data quality standards, processes, and controls.
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Profile, assess, and monitor data to identify quality issues, patterns, trends, and opportunities for improvement.
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Define and maintain data quality rules, metrics, thresholds, and performance measures for critical data assets.
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Investigate and analyze data quality issues, perform root cause analysis, and support remediation activities.
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Collaborate with business and technical stakeholders to identify data quality requirements and improvement priorities.
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Establish and maintain data quality monitoring, reporting, and scorecard processes.
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Support the identification and management of Critical Data Elements (CDEs) and associated quality controls.
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Contribute to the implementation of data governance practices that strengthen data quality and accountability.
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Support compliance with organizational policies, regulatory requirements, and data management standards.
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Provide guidance, training, and support to stakeholders on data quality practices, tools, and continuous improvement initiatives.
Deliverables:
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Data quality assessments, profiling reports, and analysis findings.
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Data quality rules, business rules, validation criteria, and monitoring controls.
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Data quality scorecards, dashboards, metrics, and performance reports.
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Root cause analyses and recommendations for addressing data quality issues.
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Data quality issue logs, remediation plans, and tracking reports.
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Critical Data Element (CDE) inventories and quality requirements.
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Data quality standards, procedures, and supporting documentation.
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Monitoring and exception reporting processes for prioritized data assets.
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Stakeholder training materials and data quality reference guides.
What you have:
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Degree in Information Management, Business, Computer Science, Data Analytics, or a related discipline; an equivalent combination of education and experience may be considered.
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Five years of directly relevant data-quality or data-governance experience.
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Considerable knowledge of data quality management principles, methodologies, and best practices.
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Experience analyzing, profiling, validating, and improving data quality within complex business environments.
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Strong knowledge of data management concepts, including data governance, metadata, master data, and data lifecycle management.
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Experience developing data quality rules, metrics, scorecards, and monitoring processes.
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Proficiency with data analysis and reporting tools, including SQL, BI tools, data profiling tools, and Microsoft Office applications.
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Sound understanding of data architecture, data integration, data warehousing, and enterprise data platforms.
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Knowledge of privacy, security, compliance, and records management requirements related to data.
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Strong analytical, problem-solving, organizational, and stakeholder engagement skills.
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Excellent verbal and written communication skills, with the ability to present findings and recommendations to both technical and non-technical audiences.
Preference will be given to candidates with the following:
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Experience in regulated industries (e.g., financial services, healthcare, public sector).
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Experience implementing or supporting enterprise data quality initiatives and continuous improvement programs.
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Occupational certification in data management, data quality, analytics, or governance (e.g., CDMP, CDQP, DGSP) is an asset.
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Experience with data quality and governance platforms (e.g., Microsoft Purview, Informatica, Collibra, Ataccama) is an asset.
Thank you for your interest in this opportunity. If you are selected to move forward in the process, we will contact you directly. If you do not hear from us, we encourage you to continue visiting our website for other roles that may be a good fit.
For more information about TEEMA and to consider other career opportunities, please visit our website at www.teemagroup.com