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Senior Data Quality Analyst
BDO Canada. Analyze data across multiple, diverse systems to understand business flows, model structures, and potential sources of quality issues .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data quality analysis, including proficiency in SQL and Python, and a strong understanding of data governance principles and master data management. Capable of translating business-focused data quality rules into actionable technical requirements while effectively communicating complex issues to diverse stakeholders.
Highest-signal resume keywords
Data Quality AnalysisSQL ProficiencyPython ProficiencyData Governance PrinciplesMaster Data Management
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalysisData TestingComplex Data ModelsTechnical Requirements DerivationData Quality Rules ImplementationRoot Cause InvestigationEvidence-Based RecommendationsData Lifecycle UnderstandingData VisualizationAI-Powered Data Quality Technologies
Soft Skills
Problem-SolvingAnalytical SkillsCritical ThinkingAttention to DetailCommunication Skills
Tools & Technologies
Power BITableau
Industry Keywords
Data GovernanceGDPRCCPA
Tech Stack
Tools & technologiesPythonSQLTableau
About the role
Key responsibilities & impact- 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 for issue investigation and ongoing monitoring
- Collaborate with data stewards to design, document, and implement business-focused data quality rules
- Translate data quality rules into actionable technical requirements for developers and engineers
- Investigate root causes of data quality problems
- Provide evidence-based recommendations and remediation plans
- Communicate data quality issues, root causes, business impacts, and recommendations to technical and non-technical stakeholders
- Analyze enterprise master data, detect issues, and identify complex scenarios from underlying source systems
- Document findings, quality rules, technical requirements, and corrective actions
- Support enforcement of data governance policies and continuous improvement of data quality practices
- Prepare and deliver reports, dashboards, and presentations tracking progress and outcomes
Requirements
What you’ll need- 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
- Experience researching and understanding complex data models, especially related to master data management
- 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
- High attention to detail and accuracy
- Excellent verbal and written communication skills
- Ability to explain complex issues to diverse stakeholders
- Ability to work independently and as part of cross-functional teams
- Deep understanding of the end-to-end data lifecycle and data technologies
- Ability and willingness to rapidly learn and adopt new data quality and AI-powered data quality technologies
- Knowledge of master data management
- Experience with data visualization platforms such as Power BI or Tableau
- Understanding of regulatory and compliance requirements such as GDPR and CCPA
Benefits
Comp & perks- Award-winning people-first environment
- Personal and professional growth opportunities
- Learning and professional development opportunities
- Comprehensive benefits from day one
- Flexible personal time off policy
- Wellness initiative reimbursement
- Flexible/blended work model
- Local and national community and charity events
- Inclusive and accessible workplace
- Flexible work across office, client site, and virtually, unless accommodations or alternative arrangements are in place