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

Summary

Business Data Analyst focused on implementing data governance frameworks, managing critical data elements, and ensuring data quality for financial and regulatory data in a banking context, using SQL for data reconciliation and analysis.

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.




See also

Data Engineering jobs by country — openings, pay and top skills →

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