Seeking a skilled Business Information Management Analyst to join our client in support of an existing vacancy.
Title: Business Information Management Analyst I
Employment Type: 12 months with potential to extend or convert
Location: Toronto, ON
Location Type: Hybrid
Business Hours: Monday-Friday
Job Responsibilities:
- Lead complex data remediation and analysis initiatives across large, structured, and unstructured datasets to ensure accuracy, consistency, and alignment with enterprise data standards
- Drive data quality (DQ) improvements and control frameworks, proactively identifying data risks and implementing sustainable solutions to mitigate operational, regulatory, and reputational impacts
- Partner with business, technology, and data stakeholders to understand requirements, influence data strategy decisions, and deliver scalable data solutions aligned with business objectives
- Design and implement automation and process optimization solutions (e.g., Python, SQL, workflow tools) to improve efficiency, reduce manual effort, and enhance control effectiveness
- Act as a subject matter expert (SME) for Party & Account data domains, providing guidance, resolving complex data issues, and supporting onboarding of new data consumers
- Translate business requirements into actionable data logic and rules, ensuring alignment with governance standards and downstream data consumption needs
- Support and lead project delivery efforts, including prioritization, execution, and tracking of data initiatives across multiple concurrent workstreams
- Produce insights and reporting to inform decision-making, highlighting key trends, risks, and opportunities to senior stakeholders
- Foster strong working relationships across TDS, influencing stakeholders and enabling effective collaboration across Operations, Technology, and CDO teams
- Mentor and support junior team members, promoting knowledge sharing, best practices, and a high-performance culture
- Promote a culture of accountability, transparency, and continuous improvement, aligned with Shared Commitments
Experience & Qualification Requirements:
- Undergraduate degree required
- 5-7 years Project management/scrum experience required
- Operations experience required
- Strong understanding of capital markets and client/reference data domains, including corporate structures and industry data sources (e.g., Bloomberg, GLEIF)
- Advanced technical expertise in data analysis and remediation, leveraging tools such as SQL (Dremio), Python, Databricks, and Excel
- Proven ability to work with large-scale datasets, identify data quality issues, and implement scalable remediation solutions
- Strong business acumen and strategic thinking, with the ability to connect data initiatives to business outcomes and risk mitigation
- Experience working in data governance, data quality, or master data management environments
- Demonstrated ability to lead initiatives and influence stakeholders across multiple functions without direct authority
- Excellent problem-solving and critical thinking skills, with a proactive approach to identifying and resolving issues
- Strong organizational and time management skills, with the ability to manage multiple priorities in a fast-paced environment
- Highly developed communication skills, with the ability to clearly articulate complex data concepts to both technical and non-technical audiences
- Self-starter with a high degree of ownership, accountability, and attention to detail
