Business Information Management Analyst#26-37224

$35.15-$38.37 per hour

Toronto, ON, Canada

Hybrid

Job Description

Our client, a Banking company, is looking for a Business Information Management Analyst I for their Toronto, ON/Hybrid location.

Responsibilities:

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 Client Securities.

Within our core values, we champion a culture of diversity, inclusion and community support/giving.

The Data Strategy team is accountable for executing and delivering data objectives against key strategic and regulatory initiatives for the client's Party and Account Master platform.

This is a data centric initiative to provide a comprehensive, accurate & consistent view of the Legal Entities within client's.

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 client's Shared Commitments; we execute with speed and impact, innovate with purpose, act like an owner, think like a customer and develop our colleagues.

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's 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.

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's, 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

Requirements:

Story behind the need:

Scope of Project:

Data analysis, remediation for consumer data

Team Size/Culture:

4 all together

Candidate profile details:

Degree/Level of Education:

Undergraduate degree/ Focus on data analytics would be preferred

Years of Overall Experience:

5 to 7 years

Preferred/Ideal Candidate Background:

Ideally has worked for a major Bank within Capital Markets

Understanding FX products, from a system data perspective

Communication skills to speak to downstream consumers

Strong tech skills- python/ SQL

Strong Excel, power BI

Strong data analysis/remediation 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

Operations experience

Project management/scrum experience