Business Information Management Analyst I

Robertson & Company Ltd.; Toronto; Hybrid; CAD 55,000 - 69,000; Full time

Job summary

Robertson & Company Ltd. in Toronto, ON, is seeking a Business Information Management Analyst I to support a 12-month engagement. You will lead data remediation across large datasets, drive data quality efforts, and collaborate with business, technology, and data stakeholders to deliver scalable data solutions.

The role emphasizes governance, automation with Python and SQL, and mentoring junior staff within a hybrid work model.

Qualifications

• Undergraduate degree required.
• 5-7 years project management / scrum experience required.
• Operations experience in capital markets or related domains.
• Strong data analysis and remediation skills with SQL, Python, Databricks.
• Experience leading data governance and master data initiatives.

Responsibilities

• Lead complex data remediation and analysis across large datasets.
• Drive data quality improvements and governance frameworks.
• Partner with business, technology, and data stakeholders to define requirements.
• Design automation using Python, SQL and workflow tools to increase efficiency.
• Act as SME for party & account data domains and onboarding new users.
• Translate business needs into data logic aligned with governance standards.
• Support project delivery, prioritization and tracking across workstreams.
• Produce insights and reports for senior stakeholders.

Skills

Project management

Stakeholder communication

Data analysis

Data governance

Education

Undergraduate degree

Tools

SQL (Dremio)

Python

Databricks

Excel

Job description

Our client is a top financial institution with significant North American holdings. They have operations across most major verticals, including institutional & corporate, wealth management, private clients, commercial banking, treasury, and retail banking.
Introduction:
Robertson is seeking a skilled Business Information Management Analyst I to join our client in support of an existing vacancy.

Employment Type: 12 months with potential to extend or convert
Base Salary: Starting form $40 per hour
Location: Toronto, ON
Location Type: Hybrid
Business Hours: Monday-Friday, Core business hours
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

Background screening is required as part of the onboarding process. The type of screening required (criminal, credit, or other verifications) will vary based on the position and client requirements.
We use AI technology as part of our application review process to assist with screening and assessment. All applications are also reviewed by our recruitment team.
Robertson & the clients we represent are equal opportunity employers, committed to diversity and inclusion. Robertson is a certified diverse supplier and actively seeks to foster a representative and inclusive workforce. We welcome applications from all qualified individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, Aboriginal status, or any other legally protected factors. We champion building a diverse and inclusive environment.