Data and Quality Analyst / Analyste des données et de l'assurance de la qualité

Company: Government of Ontario

Location: Toronto, ON

Type: Full-time

Posted: 2026-03-27

About this role

Government of Ontarioabout 20 hours ago

Urgently Hiring

Verified

  • Sponsored

Toronto, ON

CA$78,327 - CA$112,863/year

Mid Level

full\_time, temporary

### About the role

Turn data into insights that strengthen Ontario's financial decision-making

Are you passionate about using data to improve decision-making? Join the Ministry of Finance as a Data & Quality Analyst in the newly established Data and Quality Assurance Unit in the Property Tax Services Partnerships Branch supporting Ontario's municipalities through accurate, reliable property tax data.

About the job In this role, you will:

  • Work on a team of of data professionals focused on property tax and assessment data validation;
  • Analyze and visualize data to identify patterns and provide insights;
  • Provide expert advice on data collection and analysis strategies;
  • Support analysis and verification of large-scale datasets to ensure accuracy, consistency, and compliance with legislation.

Want to learn more? Join our information session. Please register HERE

What you bring to the team

Data Analysis, Data Governance and Data Management Knowledge Bring your experience working with data and supporting reliable, high-quality information.

  • Knowledge of data collection, cleaning, analysis, mining, and modelling techniques.
  • Understanding of data management, quantitative analysis, and quality assurance.
  • Experience using business intelligence, analytics, and reporting tools and platforms.
  • Ability to support data governance by applying internal principles, guidelines, and processes.
  • Understanding of data quality assurance methods and tools.

Analytical and Problem Solving Skills Use strong analytical thinking to turn complex information into clear, meaningful insights.

  • Ability to assess data, identify patterns and trends, and translate findings into practical recommendations.
  • Sound judgment in selecting analytical methods that protect data integrity and produce accurate results.
  • Capacity ...

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