- The expected base salary range for this position is $50/Hr - $60/Hr, depending on experience, skills, and internal equity.
- The Company offers a total rewards package in accordance with all applicable federal, provincial, and local laws and requirements.
- Benefit eligibility and offerings vary based on role, employment status, and work location.
- For contractor positions, benefits are limited to those entitlements and protections required by applicable law, which may include (as applicable) vacation pay, public holidays, leaves of absence, and other legally mandated benefits or payments.
- We may use AI-enabled and/or automated tools to support parts of our recruitment process, including application screening, interview scheduling, and candidate communications.
- These tools are used to enhance consistency and efficiency.
- All hiring decisions involve human review and are not based solely on automated processing.
Position Overview:
- Bank is seeking an experienced Data Quality Analyst - Advanced to join the Capital Markets Data Management Office (CM DMO). This role will support the management of data governance, metadata, and data quality across Capital Markets.
- The successful candidate will work across both project delivery and application support, partnering closely with business stakeholders and end users to understand data requirements, identify and resolve complex data quality issues, establish data governance practices, and prioritize data quality improvements.
- This position requires someone who can bridge gap between business requirements and technical data analysis, with strong SQL and Python skills and a solid understanding of financial/banking data.
Key Responsibilities:
- Support data governance and data quality initiatives across Capital Markets.
- Analyze and investigate complex data quality issues and identify root causes.
- Work with business stakeholders and end users to understand data requirements and business needs.
- Capture, document, and translate business requirements into data quality solutions.
- Identify, prioritize, and coordinate the resolution of data-related issues.
- Develop and execute data quality analysis using SQL and Python.
- Represent business interests when identifying, prioritizing, and resolving data-related issues.
- Coordinate and lead tasks required to support the business from a data quality perspective.
- Contribute to the adoption and implementation of Data Governance and Data Quality principles and practices.
- Support metadata management and data-related projects within Capital Markets.
- Collaborate with technical and business teams to improve data accuracy, completeness, consistency, and reliability.
- Manage multiple priorities in a fast-paced environment while meeting project deliverables.
- Provide guidance, training, and mentoring to other team members where required.
- Participate in application support activities related to data quality and governance.
Required Qualifications:
- Bachelor's degree or equivalent education in Data Science, Computer Science, Commerce, or a related discipline.
- Strong experience working with SQL for data analysis, investigation, validation, and data quality activities.
- Strong Python skills for data analysis and/or data quality automation.
- Experience with Data Governance and Data Quality concepts and practices.
- Strong understanding of banking/financial data, preferably within a Capital Markets environment.
- Combination of strong business knowledge and IT/data skills.
- Experience gathering and translating business requirements into data-related solutions.
- Experience identifying, investigating, and resolving data quality issues.
- Strong analytical and problem-solving capabilities.
- Excellent written and verbal communication skills.
Preferred / Nice-to-Have Qualifications:Experience with one or more of the following would be an asset:
- IBM Information Analyzer
- IBM Cloud Pak for Data
- IBM DataStage
- Ataccama
- AI / Machine Learning technologies
- Cloud technologies
- Data quality or data governance platforms
Team / Department:
- The successful candidate will join the Capital Markets Data Management Office (CM DMO) within the COO organization.
- The broader team consists of approximately 31 members, with the Data Quality function supporting Capital Markets data governance and quality initiatives.
