Intermediate Data Quality Analyst

Altis Technology; Brampton; Hybrid; CAD 65,000 - 90,000; Full time

Job summary

Altis Technology in Brampton, ON, is seeking an Intermediate Data Quality Analyst for a fixed-term hybrid assignment. You will validate complex data, cross-check records against source documentation, and support governance and reporting efforts.

Ideal candidates have 3+ years of data quality experience, advanced Excel skills, and strong attention to detail to ensure data accuracy across development records and GIS-enabled datasets.

Qualifications

• 3+ years of experience in data quality, data analysis, validation, cleansing or data governance.
• Advanced Microsoft Excel skills, including filtering, sorting, data validation and reconciliation techniques.
• Demonstrated experience reviewing, validating and correcting large, complex datasets.
• Strong analytical skills and experience investigating data discrepancies and integrity issues.

Responsibilities

• Review development application files and validate information against source documentation, including planning reports, site plans, approval notices and registration records.
• Extract and validate residential unit counts and gross floor area data by applicable classifications.
• Compare application submissions and revisions to identify changes in development scope and maintain accurate historical records.
• Verify application statuses, milestone dates, approvals, registrations and clearance information.
• Identify discrepancies, missing information, duplicates and inconsistencies, escalating records requiring clarification or correction.
• Enter validated information into Excel-based repositories and database systems while supporting historical data cleanup and migration.
• Participate in quality control activities while maintaining progress and workload tracking records.

Skills

Data quality

Data analysis

Validation

Cleansing

Data governance

Excel advanced

Attention to detail

Documentation

Communication

GIS

Planning databases

Tools

GIS

Planning databases

Records management systems

Document management systems

Job description

Intermediate Data Quality Analyst

Location: Brampton, ON, Hybrid, primarily remote with on-site attendance for training or meetings as required, plus the first and last day of the assignment

Language: Strong written and verbal English communication skills

Duration: November 2, 2026 to April 30, 2027, with potential extension of up to 6 months

About the Opportunity

Join a public sector organization undertaking a significant data quality initiative to modernize how development application information is tracked and maintained. As an Intermediate Data Quality Analyst, youll help ensure complex data is accurate, complete and reliable, supporting growth forecasting, infrastructure planning, reporting and operational decision-making.

This is a detail-focused role where youll work with development records, technical documentation and large datasets to uncover discrepancies and strengthen data integrity. Your ability to carefully cross-reference information and follow established business rules will have a meaningful impact on the quality of information teams rely on.

Whats In It for You

Youll contribute to a high-impact modernization initiative while gaining exposure to development planning data, data governance and complex records. The hybrid environment offers primarily remote work, while giving you opportunities to collaborate with stakeholders and contribute to meaningful public sector outcomes.

Your Responsibilities

• Youll review development application files and validate information against source documentation, including planning reports, site plans, approval notices and registration records.
• Youll extract and validate residential unit counts and gross floor area data by applicable classifications.
• Youll compare application submissions and revisions to identify changes in development scope and maintain accurate historical records.
• Youll verify application statuses, milestone dates, approvals, registrations and clearance information.
• Youll identify discrepancies, missing information, duplicates and inconsistencies, escalating records requiring clarification or correction.
• Youll enter validated information into Excel-based repositories and database systems while supporting historical data cleanup and migration.
• Youll participate in quality control activities while maintaining progress and workload tracking records.

Skills and Qualifications

• 3+ years of experience in data quality, data analysis, validation, cleansing or data governance.
• Advanced Microsoft Excel skills, including filtering, sorting, data validation and reconciliation techniques.
• Demonstrated experience reviewing, validating and correcting large, complex datasets.
• Strong analytical skills and experience investigating data discrepancies and integrity issues.
• Ability to interpret plans, charts, forms, reports and technical documentation with exceptional attention to detail.
• Strong documentation, records management, organizational and written and verbal communication skills.
• Experience with GIS, planning databases, records management systems or document management systems.

We appreciate the time and effort all applicants invest in their submissions. Please note that only candidates shortlisted for this role will be contacted directly. However, your profile will remain under consideration for future opportunities that align with your experience and career goals. All qualified applicants will receive fair consideration for employment. We welcome individuals of all backgrounds, experiences, and identities including those who identify as women, members of racialized groups, Indigenous Peoples, persons with disabilities, and 2SLGBTQIA+ communities. If you require an accommodation, please review our accessibility policy and reach out to our accessibility officer with any questions. Our human recruiters review all applications and always make the final hiring decision. On occasion, we also use AI‑assisted tools to help review applications.