Senior Data Quality Analyst

BDO•Vancouver, BC

3d•CA$77,000 - CA$112,000•Hybrid

About The Position

The Data Quality Analyst will play a critical role in analyzing and improving data quality across cross-functional systems within the firm. Operating within the Data Governance team, this person must have a strong sense of data governance—understanding its principles and how data quality fits within the governance framework—even if they are not a governance expert. This is a new role and will require advanced analytical skills, proficiency in SQL and Python, business process insight, and the ability to work collaboratively with data stewards and other stakeholders. The ideal candidate would have an advanced understanding of the end-to-end data process and how integrated data technologies work to perform thorough and accurate root cause analysis. The candidate must be able to learn and adopt new data quality tools such as Soda, AI-powered data quality platforms, as well as native data quality functions in platforms like Microsoft Purview and Databricks.

Requirements

Bachelor’s degree in Data Analytics, Computer Science, or a related field.
5+ years of experience as a data quality analyst or in a closely related data analytics role.
Proficiency in SQL and Python for data analysis and data testing.
Demonstrated experience with researching and understanding complex data models, especially related to master data management.
Proven ability to derive technical requirements from business data steward rules.
Familiarity with data governance principles, frameworks, and best practices.
Strong problem-solving, analytical, and critical thinking skills with high attention to detail and accuracy.
Excellent verbal and written communication skills; ability to explain complex issues to diverse stakeholders.
Self-motivated, resourceful, and able to work both independently and as part of cross-functional teams.
Deep understanding of the end-to-end data lifecycle and data technologies.
Ability and willingness to learn and adopt new data quality and AI-powered data quality technologies rapidly.

Nice To Haves

Knowledge of master data management.
Experience with data visualization platforms like Power BI or Tableau.
Understanding of regulatory and compliance requirements (e.g., GDPR, CCPA).

Responsibilities

Analyze data across multiple, diverse systems to understand business flows, model structures, and potential sources of quality issues.
Research and understand undocumented or complex data models to support issue investigation and ongoing monitoring.
Work collaboratively with data stewards to design, document, and implement business-focused data quality rules, translating them into actionable technical requirements for developers and engineers.
Investigate root causes of data quality problems and provide evidence-based recommendations and remediation plans.
Communicate data quality issues, root causes, business impacts, and recommendations clearly to both technical and non-technical stakeholders.
Have a solid understanding of enterprise master data, analyze and detect issues within master data, and identify complex data scenarios from underlying source systems of the master data.
Document findings, quality rules, technical requirements, and corrective actions for usability across governance, technical, and business teams.
Support the enforcement of data governance policies and continuous improvement of data quality practices.
Prepare and deliver reports, dashboards, and presentations to track and communicate progress and outcomes.