Business Information Management Analyst at Global Technical Talent, an Inc. 5000 Company in Toronto, ON

Job description

• Business Information Management Analyst
• Location: Toronto, ON
• Onsite Flexibility: Hybrid — 3 days onsite
• Contract Details
• Position Type: Contract
• Contract Duration: 12 months (with potential for extension and conversion)
• Pay Rate: C$40.00–C$50.00 / Hour (CAD)
• Shift / Schedule: Monday to Friday — core business hours
• Travel Requirements: Not required
• 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 TDS 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.
• Global Operations and Business Services employees are outstanding individuals whose varied talents and experience bring value to the way they deliver for the firm. Whether you are analytical or creative, business savvy or a people person, Global Operations and Business Services provide an ideal opportunity to succeed. The Global Operations and Business Services team is a diverse and dynamic group of individuals delivering continued business success through leadership, collaboration, innovation and forward-thinking. We provide critical infrastructure services that support and/or control the trading, investment, and corporate banking functions of TD Securities. Within our core values, we champion a culture of diversity, inclusion and community support/giving.
• Our team believes the Bank of the future will be driven by customer centricity. By understanding and meeting the needs of our customer, TD Securities will set itself apart as the Bank that truly "thinks customer". The Data Strategy team is accountable for executing and delivering data objectives against key strategic and regulatory initiatives for the TDS Party and Account Master platform. This is a data centric initiative to provide a comprehensive, accurate & consistent view of the Legal Entities within TDS. We are a diverse and talented team that provides an integral core function to the business and your role is a key part of our success. By understanding the needs of our business partners, our purpose is to deliver complete and accurate data integrity. In Data Strategy we live TD's Shared Commitments; we execute with speed and impact, innovate with purpose, act like an owner, think like a customer and develop our colleagues.

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 TD's Shared Commitments

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
• Strong Excel skills (V-lookups, formulas, Power BI)
• Banking experience required
• Experience with data management and data governance
• Stakeholder management experience
• Undergraduate degree required; focus on data analytics preferred
• 5 to 7 years of overall experience required
• Minimum 3 years of experience with Databricks
• Minimum 3 years of experience with Python
• Minimum 3 years of experience with strong understanding of capital markets and client/reference data domains
• Ideally has worked for a major bank within Capital Markets
• Understanding of FX products from a system data perspective
• Operations experience
• Project management / Scrum experience
• 1 year of previous operations experience
• Project management experience

Skills

Preferred

• Operations experience
• Project management / Scrum experience