Quality Management and Data Support Specialist

Municipal Property Assessment Corporation; Pickering; Hybrid; CAD 96,000 - 113,000; Full time

Benefits offered by this job

Hybrid work location

Employee wellness support

Job summary

Municipal Property Assessment Corporation in Pickering, Ontario is seeking a Quality Management and Data Support Specialist to monitor, validate, and improve data quality across MPAC systems. You will ensure data integrity and support governance initiatives.

The role requires a post-secondary education and at least seven years in data management and analytics with five years in quality control, plus experience with R/SAS/SPSS and strong collaboration skills.

Qualifications

• Post-secondary education in a relevant field is required.
• At least 7 years in data management and analytics with 5+ years in quality control.
• Experience with statistical programming languages (R, SAS or SPSS).
• Strong knowledge of assessment terminology, policies and procedures.
• Excellent interpersonal and collaboration skills.
• Excellent time management and ability to meet deadlines.

Responsibilities

• Promote efficient records and data governance across MPAC.
• Perform data quality health checks and monitor data integrity.
• Develop scalable data management and governance practices.
• Support stakeholders in data usability, security, and readiness.
• Design control structures and conduct data reviews to mitigate risks.
• Collaborate with IT and business data stewards on issue resolution.
• Lead efforts to extract and analyze historical data to identify trends.
• Contribute as a subject matter expert on corporate data governance projects.

Skills

Data management

Analytics

Quality control

Excel

Interpersonal skills

Education

Post-secondary education

Statistics / Mathematics / Computer Science (nice to have)

Tools

R

SAS

SPSS

Python

SQL

GIS

PowerBI

Tableau

QlikView

Job description

Location: Pickering, ON, CA

Type of Position: Permanent

Number of Positions: 1

Salary Min: $96,105.00

Salary Max: $113,072.00

Description: Do you want to be part of a team helping to strengthen every community across Ontario? Are you interested in seeing the importance of your work firsthand?

Become a Quality Management and Data Support Specialist with MPAC

The Municipal Property Assessment Corporation (MPAC) is made up of a team of experts who understand local communities and assess every property in Ontario. What we do provides the very foundation that municipalities use to base the property taxes needed to pay for the services we use every day.

Equity, Diversity, Inclusion and Anti-Racism

MPAC is committed to Equity, Diversity, Inclusion and Anti-Racism. We are taking important steps towards ensuring that all voices are respected, valued and being heard. MPAC is dedicated to fostering an environment where employees can bring their full, unique and authentic selves and are inspired to do their best work.

Job Description

What makes you great for this role?

You are a detailed oriented individual who can monitor, validate, maintain and improve data quality within MPAC.

We have:

• A team of highly skilled, dedicated, and collaborative staff
• Leadership that supports you
• An enterprise that embraces change
• A work environment that has flexible work locations (including hybrid), hours of work and overall employee wellness support

You have:

• Completion post-secondary (college or university) education
• A minimum of 7 years progressively responsible experience in data management and analytics in a similar industry with a minimum 5 years’ experience in quality control
• Proven experience in one or more statistical programming languages such as R, SAS, SPSS, etc.
• Knowledge and experience with assessment terminology, policies and procedures
• Excellent interpersonal and collaboration skills
• Strong time management and organizational skills to meet tight deadlines and integrate multiple work assignments
• Proficient use of Microsoft suite applications: Word, Excel, PowerPoint

Nice to have:

• Completion of post-secondary (college or university) education in: Statistics, Mathematics, Computer Science, Business Administration
• Working toward or the completion of a property valuation designation AIMA, MIMA, AACI FRICS, and/or Data Governance related designation
• Experience in at least one general programming and/or scripting language such as Java, Python, C++, SQL, etc; and proficient with GIS and visualization tools such as QGIS, ArcView, Qlikview, Tableau and PowerBI

What you will do:

• Promote efficient, accurate records, and effective information management across MPAC, to achieve data standardization, transparency and traceability
• Perform enterprise data quality health checks and analysis, identifies and evaluates concerns in governing data and suggests observations and/or work edits enhancements to management
• Maintain data integrity and improves data quality throughout the data lifecycle in the development of deliverables and ingestion of data into existing systems
• Support corporate stakeholders in building a strong data governance foundation by evaluating data sets including data usability, consistency, readiness, security and integrity
• Design and automates the development of control structures; and conducts periodic data reviews to identify data anomalies to mitigate corporate risks
• Work in collaboration with IT and business stakeholders and data stewards on data issue management and identifies data inconsistencies, and evaluates risks
• Lead efforts to develop scalable, innovative approaches to extracting, managing, analysing and interpreting historical data results to identify trends or patterns in complex data sets
• Serve as core team member on corporate projects, participate as a subject matter expert, and provide support to ensure data governance framework compliance

Additional Information:

• Requisition ID: 3052
• Existing Vacancy: Yes
• Job Type: Union
• Closing Date: August 27, 2026

Persons with disability who need accommodation in the application process or those needing job postings in an alternative format may email their request to [e-mail].

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