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Benchmark Recruitment

Data Quality Analyst

Vancouver, BC, Canada
Greater Vancouver Metropolitan Area, Canada

Contract

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Job details

Job type: Contract
Apply by: Dec 6, 2026
Experience: Minimum 5 years of directly relevant experience in data quality management or data governance
Posting language: English
Posted: Nov 6, 2026

Original job description

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.

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More about this job

Responsibilities

Assess and improve data quality across prioritized business domains by profiling data, defining standards and validation rules, investigating root causes, and coordinating remediation. Establish monitoring, reporting, and scorecard processes, document critical data elements, and support data governance, compliance, stakeholder training, and continuous improvement.

Requirements

Requires a degree in information management, business, computer science, data analytics, or a related discipline (or equivalent experience), and at least five years of relevant data quality or data governance experience. Candidates should have strong SQL, profiling, validation, root cause analysis, and data quality monitoring skills, along with enterprise data management knowledge and the ability to collaborate and communicate effectively with technical and business stakeholders.

Skills

Data Quality Management
Data Governance
SQL
Data Profiling
Root Cause Analysis
Data Validation
Data Quality Metrics
Data Quality Scorecards
Data Quality Monitoring
Data Remediation
Critical Data Elements
Metadata Management
Master Data Management
Business Intelligence
Stakeholder Engagement
Data Privacy

Visa sponsorship

Not detected in the job text

Keywords

Data Quality
Data Governance
SQL
Data Profiling
Root Cause Analysis
Data Validation
Data Quality Rules
Data Quality Metrics
Data Quality Scorecards
Monitoring Controls
Exception Reports
Dashboards
Critical Data Elements
Metadata Management
Master Data Management
Data Lifecycle Management
Data Architecture
Data Modelling
Data Integration
Data Warehousing
Enterprise Data Platforms
Business Intelligence
Microsoft Office
Microsoft Purview
Informatica
Collibra
Ataccama
Data Privacy
Records Management
CDMP

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