Business Data Analyst – Data Quality & Data Governance (Banking)

Résumé du poste

Implement and execute Data Governance frameworks for financial, risk, and regulatory data while documenting Critical Data Elements and data lineage. Monitor data quality controls and coordinate remediation efforts between business and technology teams.

Détails du poste

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 Bachelor's 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.

Ce que vous ferez

Implement and execute Data Governance frameworks for financial, risk, and regulatory data while documenting Critical Data Elements and data lineage. Monitor data quality controls and coordinate remediation efforts between business and technology teams.

Exigences

Requires strong financial domain knowledge in credit risk and treasury, combined with expertise in data governance and SQL. A bachelor's degree in a quantitative or business field is required, with professional certifications preferred.

Compétences indiquées

• SQL · Souhaitée
• Root Cause Analysis · Souhaitée
• Treasury · Souhaitée
• Analyse d’affaires · Souhaitée
• Stakeholder Management · Souhaitée

Autres compétences pertinentes

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Credit Risk
• Treasury
• Critical Data Elements
• Regulatory Reporting
• SQL
• Data Governance
• Data Quality
• Data Lineage
• Metadata Management
• Source-to-Target Mapping
• Root-Cause Analysis
• Stakeholder Management
• Financial Domain Knowledge
• Variance Analysis
• Data Reconciliation
• Business Analysis

Domaines d’emploi

• Data & Analytics
• Finance & Accounting
• Technology
• Consulting
• Management & Leadership