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20-029- Data Governance Analyst

Category: Work Type: Contract Location:

20-029 - Data Governance Analyst


Number of Vacancies: 1

Level:  MP4

Duration: 12 months

Location: 800 Kipling Avenue, Etobicoke


Job Overview


  • Assist with the development of data governance guidelines and ensure they are followed.
  • Facilitate the development and implementation of data quality standards, data protection standards and adoption requirements.
  • Define, implement, monitor and maintain data governance and data stewardship key performance indicators.
  • Prepare and publish data governance and compliance reports for internal management.
  • Collect and maintain a Data Glossary (key business metadata including data definitions; rules; lineage; data lifecycle; security; privacy; common metric definitions; and process, organization, location and application models).
  • Assists in the identification of change impacts through requirements gathering, mapping and documenting current and proposed processes.
  • Generates new ideas, challenges the status quo, takes risks, supports change, encourages innovation, and solves problems creatively.
  • Collaborates with stakeholders to identify business requirements and opportunities for improved data management.
  • Work closely with stakeholders to define and manage data requirements and recommend solutions.
  • Document requirements, define scope and objectives and manage prioritization of projects.
  • Manage projects to establish milestones, objectives and forming project teams.
  • Define, develop and implement data quality measurements that support product, client and regulatory defined goals and requirements.
  • Develop subject matter expertise across different asset classes and understand the data used by products and customers.
  • Conducts needs assessments, identifies gaps and provides suggestions to improve and streamline process.



  • University Education in the areas of Business, IT, Engineering or related fields.
  • 3+ years of experience in data governance is required.
  • Good understanding of data management and governance principles.
  • Knowledge of best practices within data governance, data modeling, quality, lineage, master data management, metadata management, and data analytics.
  • Strong verbal and written communication and collaboration skills.
  • Quantitative analytic skills, including data presentation.
  • Proficient with Microsoft Excel and Word.
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