Business Information Management Analyst I
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Key skills for this role
About the Role
Robertson & Company is seeking a Business Information Management Analyst I for a 12-month contract with a top financial institution. The role involves data remediation, data quality improvements, and automation using SQL, Python, and Databricks.
Key Skills for This Role
Responsibilities
- Lead complex data remediation and analysis initiatives across large, structured and unstructured datasets
- Drive data quality improvements and control frameworks, proactively identifying data risks and implementing sustainable solutions
- Partner with business, technology, and data stakeholders to understand requirements and deliver scalable data solutions
- Design and implement automation and process optimization solutions (e.g., Python, SQL, workflow tools)
- Act as a subject matter expert for Party & Account data domains
- Translate business requirements into actionable data logic and rules
- Support and lead project delivery efforts across multiple concurrent workstreams
- Produce insights and reporting to inform decision making
- Mentor and support junior team members
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
- Experience working in data governance, data quality, or master data management environments
- Excellent problem solving and critical thinking skills
Full Job Posting
Introduction
- Our client is a top financial institution with significant North American holdings.
- Robertson is seeking a skilled Business Information Management Analyst I to join our client in support of an existing vacancy.
Contract Details
- Contract Period: 12 months with potential to extend or convert.
- Pay Rate: Starting from CAD 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 with Shared 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.
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