Business Information Management Analyst I

Job Title: Business Information Management Analyst I
Location: Toronto, ON (Hybrid)
Estimated Duration: 12 Months

Job Description:
Are you a data-driven professional who thrives in a dynamic, evolving environment and can operate with ownership and strategic impact? As a Senior Data Analyst, you will play a critical role in advancing enterprise data quality, supporting regulatory and strategic initiatives, and driving scalable data solutions across the client Party & Account Master platform.
Successful candidates will demonstrate strong analytical depth, stakeholder influence, and the ability to translate business needs into data-driven solutions while maintaining a strong risk and control mindset.
 
Key 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 client, 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 client’s Shared Commitments

 
Must have requirements:

• 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

Nice to have:

• Operations experience
• Project management/scrum experience