DQ Analyst Roles and Responsibilities: Profile data and measure current quality levels and issues.

Propose and implement data quality monitors in Data Quality tool.

Identify, triage, and communicate potential data quality issues to stakeholders.

Work with technical teams to implement fixes to data quality issues

Develop and maintain data quality reporting and alerting mechanisms

Implement process improvements to enhance overall data quality

Work with Service Management teams to establish and monitor service level agreements, communication protocols with data suppliers, and data quality assurance policies

Provide data quality advisory services to projects and stakeholders

Provide data quality training and presentations to external clients and internal teams

Required Skill Sets: Experience working in AWS, Redshift, Atlan, Monte

Carlo

Prior exposure to Data Observability, Monitoring, Lake Formations

Knowledge in SQL for purpose of data analysis/investigation

Work with the Data Product Owners, Data Analysts, and Data Engineers to help manage and deliver on the product technical roadmap for the data platform

Strong understanding of Data Quality and Data Governance fundamentals

Preferred Qualifications: Comfortable making decisions and leading

Familiar with data observability, data quality tools

Other Key Attributes / Characteristics: Superior communication skills both oral and written

Positive contributor, strong team member, loves to work with and empower others

Collaborates with a team

Time management skills

Terms /Expected Hours of Work: 40 hours per week





Working hours (Off-shore): TBDMetadata Analyst Roles and Responsibilities: Curate and maintain technical, business, and operational metadata within a Data Catalog tool

Collaborate with business stakeholders to define, document, and maintain standardized business terms

Ensure consistency and alignment of reference data across systems and datasets.

Apply privacy, sensitivity, and regulatory tags (e.g., PII, SPI) at the appropriate asset level.

Act as a bridge between technical teams and business users to translate data context effectively

Support governance workflows such as approvals, reviews, and change requests in the catalog

Provide training and presentations to external clients and internal teams

Required Skill Sets: Experience working in AWS, Redshift, Atlan, Monte

Carlo

Prior exposure to Reference Data, Privacy Taxonomy, Lake Formations

Knowledge in SQL for purpose of data analysis/investigation

Work with the Data Product Owners, Data Analysts, and Data Engineers to help manage and deliver on the product technical roadmap for the data platform

Robust understanding of Data Governance fundamentals

Preferred Qualifications: Comfortable making decisions and leading

Familiar with Data Catalog Tool, Reference Data Management

Other Key Attributes / Characteristics: Superior communication skills both oral and written

Positive contributor, strong team member, loves to work with and empower others

Collaborates with a team

Time management skills

Terms /Expected Hours of Work: 40 hours per week

Working hours: 9-5

📌 Data Governance Analyst (Markham)
🏢 Adastra
📍 Markham