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