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Added 37 mins ago
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QuadReal Property Group

Data Quality and Controls Analyst

Toronto, ON, Canada

Pay: The expected annualized base salary range for this role is $85,000-$110,000.
Job type: Full-time
Apply by: Nov 1, 2026
Experience: 3+ years of relevant experience in data quality, analytics engineering, data engineering, data operations, or a controls-focused analytics role
Posting language: English
Posted: Oct 2, 2026

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Original job description

About QuadReal Property Group

QuadReal Property Group is a global real estate investment, development and operating company headquartered in Vancouver, British Columbia. Its assets under management are $98.5 billion. From its foundation in Canada as a full-service real estate operating company, QuadReal has expanded its capabilities globally for investments in equity and debt in both the public and private markets. QuadReal invests directly through operating platforms in which it holds an ownership interest and via programmatic partnerships.

QuadReal seeks to deliver strong investment returns while creating sustainable environments that bring value to the people and communities it serves. Now and for generations to come.

QuadReal: Excellence lives here.

www.quadreal.com

Role Description

At QuadReal, the Data Quality & Controls Analyst sits at the intersection of Business, Data Governance, Analytics, and Data Engineering. The role is responsible for overseeing the daily end-to-end health of data across the Enterprise Data Platform (EDP), helping ensure that trusted data reaches business intelligence and reporting solutions.

The Enterprise Data & Analytics (ED&A) team is looking for a Data Quality & Controls Analyst to operationalize data quality rules and technical controls across Airflow, dbt, Microsoft Fabric, SYNQ, and Power BI. You’ll translate approved business rules into executable checks, monitor data and pipeline health, coordinate issue resolution, and maintain the evidence needed to support current and evolving SOC 1 control requirements.

The ideal candidate combines hands-on SQL and data engineering knowledge with strong operational discipline and clear stakeholder communication. You’ll work closely with Business Data Stewards, Data Governance, analytics engineers, data engineers, BI developers, and control partners to improve data trust and strengthen the reliability of enterprise reporting.

This role can be based out of our Toronto or Vancouver office locations.

Responsibilities

Daily Data Operations: Oversee the daily end-to-end data process by monitoring Airflow workflows, dbt builds, tests and source freshness, Microsoft Fabric pipelines and notebooks, SYNQ alerts, and downstream Power BI impacts.
Issue Management: Log, prioritize, route, and track data quality and pipeline issues to resolution within agreed service levels; coordinate reruns, backfills, and recovery validation without bypassing required controls.
Data Quality Rules: Partner with Business Data Stewards and Data Governance to translate approved business rules into executable freshness, completeness, uniqueness, validity, referential integrity, schema, and anomaly checks.
Data Quality Tooling: Configure and maintain monitors, ownership, alert routing, lineage, incidents, and data quality metrics in SYNQ, supported by dbt tests and SQL-based validation where appropriate.
Threshold Management: Use data profiling, historical patterns, statistical analysis, business materiality, and feedback from stakeholders to establish and tune thresholds while reducing false-positive alerts.
Control Evidence: Maintain complete, attributable, and time-stamped evidence that controls operated as designed, including run histories, dbt results and artifacts, SYNQ incidents, tickets, approvals, reconciliations, and remediation records.
SOC 1 Support: Support control walkthroughs, evidence requests, sample testing, exception documentation, and remediation activities in partnership with Risk, Controls, and Audit stakeholders.
Quadrant Overrides: Operate and support the Quadrant override functionality for approved business corrections, ensuring each change is authorized, traceable, technically validated, and reflected correctly in downstream data. Business owners approve changes; the analyst supports the tooling and does not self-approve overrides.
Manual File Controls: Support controlled manual file ingestion by validating file identity, format, schema, timing, approvals, ingestion results, and reconciliations so manual inputs remain reproducible and auditable.
Lineage and Reporting Impact: Use metadata and lineage to understand how upstream failures or changes affect critical datasets, metrics, semantic models, and Power BI reports, and communicate business impact to the appropriate owners.
Standards and Documentation: Maintain runbooks, control documentation, data quality definitions, known-issue guidance, and operating procedures; identify opportunities to automate evidence and reduce recurring incidents.
Separation of Duties: Implement technical controls and approved governance standards while maintaining clear role boundaries. Data Governance owns the operating model and policy, business owners approve business corrections, and ED&A owns technical implementation and execution.

Experience And Qualifications

3+ years of relevant experience in data quality, analytics engineering, data engineering, data operations, or a controls-focused analytics role
Advanced SQL skills, including data profiling, reconciliation, validation, and root-cause analysis across large datasets
Strong hands-on experience with dbt, including models, sources, tests, source freshness, documentation, and deployment practices
Experience with data quality or observability platforms and the operation of monitors, alerts, lineage, and incident workflows
Experience monitoring and troubleshooting workflow orchestration tools such as Airflow
Familiarity with Microsoft Fabric, including OneLake, lakehouses or warehouses, notebooks or pipelines, and SQL endpoints
Understanding of Power BI data dependencies, refresh processes, semantic models, and downstream reporting impacts
Sound understanding of data quality dimensions and control concepts, with the statistical literacy needed to establish and tune thresholds
Experience maintaining audit trails, approvals, evidence, and change records in a SOC 1, SOX, financial-control, or similarly regulated environment
Experience with Git, peer review, CI/CD practices, and controlled development-to-production deployment
Strong communication, stakeholder management, problem-solving, and issue-coordination skills
Bachelor’s degree in a technical or business field, or equivalent practical experience

The Following Would Be Considered An Asset

Experience with Microsoft Purview or comparable metadata, cataloguing, and lineage tools
Familiarity with Azure security concepts such as service principals, Key Vault, RBAC, and least-privilege access
Experience with medallion data architectures, Delta tables, Python, or containerized dbt workloads
Experience supporting controlled overrides, manual file processes, or evidence automation
Experience in real estate, investment management, accounting, or financial services
Continuous learning mindset and a passion for data governance and quality

This job posting is for an existing vacancy within our organization.

The expected annualized base salary range for this role is $85,000-$110,000.

Based on the position, QuadReal offers a competitive total rewards package in addition to the base pay, which may include a performance-based incentive plan, comprehensive health & dental benefits, pension plan, and paid time off.

The actual salary offered will take into consideration a wide array of factors including, but not limited to, the individual’s skill, experience, education and training, the market compensation of the role, and the consideration to internal equity.

We value diverse experiences and perspectives. Even if your skills don’t align 100% with the listed qualifications or salary range, we encourage you to apply – you may be a great fit for this role or others in our community. Applicants may also be considered for alternative positions within the organization where their qualifications and experience align more closely with available opportunities.

We use artificial intelligence (AI) technology - alongside human review - to assist in screening and assessing applicants for this position. Our recruitment team remains involved in all decisions.

Candidates must be legally authorized to work in Canada as the company does not provide work permit sponsorship for this role.

Note to Recruiters: QuadReal does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to QuadReal, directly or indirectly, will be considered QuadReal property. QuadReal will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for engaged services to submit resumes.

QuadReal Property Group will provide reasonable accommodation at any time throughout the hiring process for applicants with disabilities or for those needing job postings in an alternate format. If you require accommodation, please advise the Talent Acquisition team member you are working with and include the following: Job posting #, your name and your preferred method of contact.

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More about this job

Responsibilities

Monitor end-to-end data pipelines and reporting impacts, operationalize approved data quality rules, and coordinate data and pipeline issues through resolution. Maintain auditable control evidence, support SOC 1 activities, and ensure overrides and manual file ingestion follow approved controls and separation-of-duties requirements.

Requirements

Requires 3+ years of relevant experience, advanced SQL, hands-on dbt experience, and familiarity with Airflow, Microsoft Fabric, data observability tools, and Power BI dependencies. Candidates should also have experience with audit trails and regulated controls, Git and CI/CD practices, strong communication skills, and a bachelor’s degree in a technical or business field or equivalent practical experience.

Skills

Advanced SQL
Data Profiling
Data Reconciliation
Data Validation
Root-Cause Analysis
dbt
Airflow
Microsoft Fabric
SYNQ
Power BI
Data Quality Monitoring
Data Governance
SOC 1 Controls
Git
CI/CD
Stakeholder Management

Benefits

Performance-Based Incentive Plan
Health and Dental Benefits
Pension Plan
Paid Time Off

Visa sponsorship

Not detected in the job text

Keywords

SQL
dbt
Airflow
Microsoft Fabric
OneLake
SYNQ
Power BI
Enterprise Data Platform
Data Quality
Data Observability
Data Governance
Data Profiling
Data Reconciliation
Data Lineage
SOC 1
SOX
Git
CI/CD
Microsoft Purview
Azure
Key Vault
RBAC
Python
Delta Tables
Medallion Architecture
Data Controls
Manual File Ingestion
Statistical Analysis
Semantic Models
Real Estate

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