Business Data Analyst – Data Quality & Data Governance (Banking)
Job Summary
Business Data Analyst Data Quality & Governance (Banking)
Key Skills: Credit Risk Treasury CDE Regulatory Reporting SQL
Data Governance Business Systems Analyst Financial Data Data Quality & SQL
Location: Toronto Hybrid 2 days a week in office
Key Responsibilities
- Support the implementation and execution of Data Governance frameworks for financial risk lending and regulatory data.
- Identify and document Critical Data Elements (CDEs) including definitions ownership stewardship and data flows.
- Develop and maintain end-to-end data lineage metadata and source-to-target mappings.
- Define monitor and improve Data Quality controls and standards.
- Perform data reconciliation variance analysis and investigate data quality issues.
- Conduct root-cause analysis and coordinate remediation with business and technology teams.
- Document business rules transformation logic data mappings and system dependencies.
- Facilitate stakeholder discussions to establish data ownership resolve issues and drive governance initiatives.
- Track data quality issues risks remediation actions and governance decisions.
- Prepare governance reports issue summaries and audit/regulatory documentation.
- Support compliance risk audit and regulatory reporting requirements.
- Promote consistent data governance metadata and data quality practices across the organization.
Top 3 Required Skills
1. Financial Domain Knowledge
- Knowledge of financial products treasury credit risk exposures and regulatory reporting.
- Experience with financial/risk reporting and business rules.
2. Data Governance
- Experience with data lineage metadata CDEs and data ownership.
- Strong understanding of Data Quality controls (accuracy completeness consistency timeliness etc.).
3. Stakeholder Management
- Ability to work with Finance Risk Technology Compliance and Operations teams.
- Strong communication issue resolution and governance reporting skills.
Top 3 Preferred Skills
1. Data Analysis & SQL
- Strong SQL data reconciliation variance analysis and root-cause investigation skills.
2. Financial Systems & Reporting
- Familiarity with lending treasury risk data warehouse and regulatory reporting systems (Loan IQ/APMS is a plus).
3. Documentation & Issue Management
- Experience with issue tracking remediation data lineage mappings governance reporting and business/technical documentation.
Education & Certifications
- Bachelors degree in Finance Business Economics Data Management Information Systems Computer Science or related field.
- Relevant certifications (CDMP CBAP CFA FRM CPA etc.) preferred.
- Equivalent education and professional experience will be considered.