Business Information Management Analyst I

Robertson & Company Ltd.; Toronto; Hybrid; CAD 110,208,000 - 132,250,000; Full time

Job summary

Robertson seeks a Business Information Management Analyst I to join our client in Toronto, hybrid work arrangement. This 12-month contract focuses on data remediation, quality improvements, governance, and turning requirements into scalable data solutions across capital markets domains.

You will partner with stakeholders, design automation using Python and SQL, mentor junior teammates, and deliver insights to senior leadership while upholding enterprise data standards and risk controls.

Qualifications

• Undergraduate degree required.
• 5-7 years of Operations experience.
• Strong understanding of capital markets and client/reference data domains (e.g., Bloomberg, GLEIF).
• Advanced technical expertise in data analysis and remediation using SQL (Dremio), Python, Databricks, and Excel.
• Experience with large-scale datasets and data governance environments.
• Proven ability to lead initiatives and influence stakeholders without direct authority.
• Excellent problem-solving, communication, and time-management skills.
• Self-starter with ownership and attention to detail.

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 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 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 withShared Commitments.

Skills

Data governance

Data quality improvements

Stakeholder management

Mentoring

Communication skills

Project leadership

Ownership

Problem-solving

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.

Contract Period: 12 months with potential to extend or convert

Pay Rate: Starting from $42 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 withShared Commitments

Experience & Qualification Requirements

• Undergraduate degree required
• 5-7 years of Operations experience
• 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.