Job Title: Data Quality Analyst – Data Strategy
7-month contract | Hybrid in the Greater Vancouver Metropolitan Area | Closing Date: Tuesday, November 17, 2026 | Must hold a valid Canadian Work Visa
Our client, a provincial public sector organization supporting housing programs and services across British Columbia, is seeking an experienced Data Quality Analyst for a 7-month hybrid contract opportunity, with the possibility of extension.
The Data Quality Analyst will play an important role in advancing the organization's enterprise Data Strategy, focusing on improving the accuracy, consistency, reliability, and trustworthiness of critical data assets. This position will support the development of sustainable data quality practices that strengthen operational efficiency, enable informed decision-making, and improve confidence in enterprise data.
Reporting functionally to the Manager, Data Governance, the successful candidate will work closely with business and technical stakeholders to assess data quality across prioritized business domains, identify underlying issues, establish measurable quality standards, and coordinate remediation efforts. The role will also support the implementation of repeatable monitoring and reporting processes to drive continuous improvement.
The ideal candidate brings 5+ years of directly relevant data quality or data governance experience, with strong capabilities in data profiling, SQL, root cause analysis, data quality metrics, and enterprise data management. Experience developing data quality scorecards, implementing monitoring controls, and collaborating with cross-functional teams will be essential.
Responsibilities:
- Support the development, implementation, and continuous improvement of enterprise data quality standards, processes, procedures, and controls
- Conduct data profiling, assessments, and validation activities to identify quality issues, inconsistencies, patterns, and improvement opportunities across business domains
- Define, document, and maintain data quality rules, business rules, validation criteria, thresholds, and performance metrics for prioritized data assets
- Investigate data quality issues, perform root cause analysis, and recommend practical solutions to address underlying problems
- Collaborate with business and technical teams to coordinate data remediation activities, monitor corrective actions, and track issue resolution
- Work with stakeholders to gather and document data quality requirements, business priorities, and acceptance criteria
- Establish and maintain data quality monitoring processes, exception reports, dashboards, and scorecards to measure and communicate data quality performance
- Identify and document Critical Data Elements (CDEs), including associated data quality requirements, validation rules, and monitoring controls
- Analyze data quality trends and recurring issues to identify opportunities for process improvements and preventative controls
- Develop and maintain data quality issue logs, remediation plans, tracking reports, and supporting documentation
- Contribute to broader data governance initiatives, supporting data ownership, stewardship, accountability, and consistent application of enterprise data standards
- Work closely with Project Managers, Change Management Specialists, business stakeholders, and technical teams to coordinate data quality activities across initiatives
- Support compliance with organizational data management policies, privacy requirements, regulatory obligations, and records management standards
- Prepare data quality assessment reports, profiling findings, root cause analyses, and recommendations for project leadership and stakeholders
- Develop repeatable data monitoring, validation, and exception management procedures to support long-term data quality improvements
- Provide guidance, training, and knowledge transfer to stakeholders on data quality practices, tools, standards, and continuous improvement processes
- Create and maintain stakeholder training materials, data quality reference guides, and procedural documentation
- Support the measurement and reporting of data quality improvements to demonstrate the effectiveness of formalized data quality management practices
- Promote collaboration between business and technical teams to strengthen organizational data literacy, accountability, and confidence in enterprise data
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 5 years of directly relevant experience in data quality management or data governance
- Strong understanding of data quality management principles, methodologies, frameworks, and industry best practices
- Demonstrated experience profiling, analyzing, validating, and improving data quality within complex business or enterprise environments
- Proven ability to identify data quality issues, conduct root cause analysis, and develop practical remediation recommendations
- Experience defining and implementing data quality rules, validation criteria, performance metrics, scorecards, and monitoring processes
- Strong proficiency with SQL for data analysis, profiling, validation, and investigation
- Experience using Business Intelligence (BI) tools, data profiling technologies, reporting platforms, and Microsoft Office applications
- Sound knowledge of data governance, metadata management, master data management, and data lifecycle management
- Understanding of data architecture, data modelling, data integration, data warehousing, and enterprise data platforms
- Experience developing data quality dashboards, exception reports, and performance monitoring processes
- Familiarity with identifying and managing Critical Data Elements (CDEs) and associated data quality controls
- Knowledge of data privacy, information security, regulatory compliance, and records management requirements
- Strong analytical and problem-solving skills, with the ability to investigate complex data issues and recommend effective solutions
- Excellent organizational and time management skills, with the ability to manage competing priorities and deliverables in a complex environment
- Strong stakeholder engagement and relationship-building skills, with experience collaborating across business and technical teams
- Excellent written and verbal communication skills, including the ability to present technical findings, data quality assessments, and recommendations to technical and non-technical audiences
- Demonstrated ability to work independently while contributing effectively to cross-functional project teams
- Experience working within regulated industries, such as financial services, healthcare, government, or the broader public sector, is considered an asset
- Previous experience implementing or supporting enterprise data quality initiatives, remediation programs, or continuous improvement activities is preferred
- Experience with data quality and governance platforms, such as Microsoft Purview, Informatica, Collibra, Ataccama, or similar technologies, is considered an asset
- Professional certification in data management, data quality, analytics, or governance, such as Certified Data Management Professional (CDMP), Certified Data Quality Professional (CDQP), or Data Governance and Stewardship Professional (DGSP), is considered an asset
NOTE: Interested candidates who meet the above qualifications are encouraged to apply directly. Due to the volume of applications, only those shortlisted will be contacted.
