Are you a data-driven professional who thrives in a dynamic, evolving environment and operates with a strong sense of ownership? A premier global financial institution is seeking a Senior Data Analyst / Business Information Management Analyst to play a critical role in advancing enterprise data quality, supporting regulatory and strategic initiatives, and driving scalable data solutions.
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This role sits within a sophisticated Capital Markets Operations ecosystem, supporting a strategic platform that serves as the central repository for client reference and static data (legal entities, account information, product holdings, and settlement instructions). This is a hybrid Data Governance / Data Analytics role within a small, highly collaborative team of four. You will balance day-to-day operational data management with high-impact project work focused on data remediation, automation, and platform enhancements.
Location: Toronto, ON (Hybrid – 3 days onsite)
Position Type: 1-Year Contract (Possibility of extension and permanent conversion)
Schedule: Monday to Friday, Core Business Hours
Compensation: $46.59/hour
Advantages
Long-Term Stability: A secure 1-year contract with a strong likelihood of extension or permanent conversion.
High-Impact Project: Play a key role in a major, data-centric initiative aimed at optimizing customer-centricity and data integrity.
Hybrid Work Model: Enjoy the flexibility of a hybrid schedule based out of a premier financial hub in downtown Toronto.
Collaborative Culture: Join a diverse, dynamic team that champions inclusion, innovation, and continuous professional development.
Responsibilities
Data Analysis & Remediation: Lead complex data remediation and quality activities across large structured and unstructured datasets to ensure corporate client reference data is complete, accurate, and consistent.
Scripting & Automation: Build, enhance, and maintain Python and SQL scripts/frameworks used for data health checks, validation, reporting, and bulk data updates.
Data Governance: Drive Data Quality (DQ) control frameworks, proactively identifying data risks and implementing sustainable solutions to mitigate operational and regulatory impacts.
Stakeholder Collaboration: Partner closely with Operations, Technology, and Chief Data Office (CDO) teams to translate business requirements into actionable data logic and rules.
SME Guidance: Act as a Subject Matter Expert (SME) for the Party & Account data domains, assisting downstream data consumers and resolving complex data issues.
Agile Project Delivery: Participate in Agile ceremonies (Scrums) and contribute to the ongoing rollout of a strategic enterprise master data platform.
Qualifications
Must-Have Skills & Experience:
Experience: 5 to 7+ years of professional experience in data analytics, data governance, or master data management.
Technical Expertise: Advanced proficiency in Python and SQL for data analysis, automation scripting, and querying large enterprise databases.
Data Remediation: Proven track record of working with large-scale datasets, identifying data quality trends, and executing bulk remediation.
Education: Undergraduate degree (a focus on Data Analytics, Computer Science, or Finance is preferred).
Communication: Exceptional communication skills with the ability to articulate complex data concepts to both technical developers and non-technical business consumers.
Nice-to-Have Skills & Experience:
Financial Domain Knowledge: Prior experience in Banking or Capital Markets, specifically understanding FX products or client reference/static data.
Advanced Tools: Experience with Databricks, Dremio, Power BI, and advanced Excel.
Industry Standards: Familiarity with corporate structures and reference data sources (e.g., Bloomberg, GLEIF).
Project Delivery: Experience working within an Agile/Scrum framework or holding project coordination experience.
Summary
If you are interested in the Business Information Management Analyst role please apply online today!
Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.
Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.
This posting is for existing and upcoming vacancies.
show more
Are you a data-driven professional who thrives in a dynamic, evolving environment and operates with a strong sense of ownership? A premier global financial institution is seeking a Senior Data Analyst / Business Information Management Analyst to play a critical role in advancing enterprise data quality, supporting regulatory and strategic initiatives, and driving scalable data solutions.
This role sits within a sophisticated Capital Markets Operations ecosystem, supporting a strategic platform that serves as the central repository for client reference and static data (legal entities, account information, product holdings, and settlement instructions). This is a hybrid Data Governance / Data Analytics role within a small, highly collaborative team of four. You will balance day-to-day operational data management with high-impact project work focused on data remediation, automation, and platform enhancements.
Location: Toronto, ON (Hybrid – 3 days onsite)
Position Type: 1-Year Contract (Possibility of extension and permanent conversion)
Schedule: Monday to Friday, Core Business Hours
Compensation: $46.59/hour
Advantages
...
Long-Term Stability: A secure 1-year contract with a strong likelihood of extension or permanent conversion.
High-Impact Project: Play a key role in a major, data-centric initiative aimed at optimizing customer-centricity and data integrity.
Hybrid Work Model: Enjoy the flexibility of a hybrid schedule based out of a premier financial hub in downtown Toronto.
Collaborative Culture: Join a diverse, dynamic team that champions inclusion, innovation, and continuous professional development.
Responsibilities
Data Analysis & Remediation: Lead complex data remediation and quality activities across large structured and unstructured datasets to ensure corporate client reference data is complete, accurate, and consistent.
Scripting & Automation: Build, enhance, and maintain Python and SQL scripts/frameworks used for data health checks, validation, reporting, and bulk data updates.
Data Governance: Drive Data Quality (DQ) control frameworks, proactively identifying data risks and implementing sustainable solutions to mitigate operational and regulatory impacts.
Stakeholder Collaboration: Partner closely with Operations, Technology, and Chief Data Office (CDO) teams to translate business requirements into actionable data logic and rules.
SME Guidance: Act as a Subject Matter Expert (SME) for the Party & Account data domains, assisting downstream data consumers and resolving complex data issues.
Agile Project Delivery: Participate in Agile ceremonies (Scrums) and contribute to the ongoing rollout of a strategic enterprise master data platform.
Qualifications
Must-Have Skills & Experience:
Experience: 5 to 7+ years of professional experience in data analytics, data governance, or master data management.
Technical Expertise: Advanced proficiency in Python and SQL for data analysis, automation scripting, and querying large enterprise databases.
Data Remediation: Proven track record of working with large-scale datasets, identifying data quality trends, and executing bulk remediation.
Education: Undergraduate degree (a focus on Data Analytics, Computer Science, or Finance is preferred).
Communication: Exceptional communication skills with the ability to articulate complex data concepts to both technical developers and non-technical business consumers.
Nice-to-Have Skills & Experience:
Financial Domain Knowledge: Prior experience in Banking or Capital Markets, specifically understanding FX products or client reference/static data.
Advanced Tools: Experience with Databricks, Dremio, Power BI, and advanced Excel.
Industry Standards: Familiarity with corporate structures and reference data sources (e.g., Bloomberg, GLEIF).
Project Delivery: Experience working within an Agile/Scrum framework or holding project coordination experience.
Summary
If you are interested in the Business Information Management Analyst role please apply online today!
Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.
Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.
This posting is for existing and upcoming vacancies.
show more
