Data Governance Analyst

Adastra Corporation•Markham, ON

About The Position

This role involves two key areas: Data Governance Analyst and Metadata Analyst. As a Data Governance Analyst, you will be responsible for profiling data, measuring data quality, implementing data quality monitors, identifying and resolving data quality issues, and developing data quality reporting. You will also work with Service Management teams to establish SLAs and communication protocols, provide data quality advisory services, and conduct training. As a Metadata Analyst, you will curate and maintain metadata in a Data Catalog tool, collaborate with stakeholders to define business terms, ensure consistency of reference data, apply privacy and sensitivity tags, and support governance workflows. You will also act as a liaison between technical and business teams and provide training.

Requirements

Experience working in AWS, Redshift, Atlan, MonteCarlo
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
Prior exposure to Reference Data, Privacy Taxonomy, Lake Formations
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

Nice To Haves

Comfortable making decisions and leading
Familiar with data observability, data quality tools
Familiar with Data Catalog Tool, Reference Data Management

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.
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.