This role coordinates and executes day-to-day activities across the full master data lifecycle, including data creation, maintenance, and continuous improvement of data quality. The analyst works closely with internal stakeholders and external partners to ensure accurate, complete, and timely master data setup, enabling effective and efficient business operations across the organization.
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Advantages
Cross-Functional Collaboration: Partner cross-functionally to drive overall process efficiency and data accuracy.
Diverse Technology Ecosystem: Gain hands-on exposure working with an advanced toolset including WinShuttle, SAP, and custom MDM platforms.
Enterprise Impact: Play a critical role in enabling successful end-to-end supply chain, procurement, and financial operations through high data integrity.
Leadership and Mentorship: Drive continuous improvement by training business users and supporting cross-training initiatives to elevate team capability.
Responsibilities
1. Data Creation & Intake ManagementCreate master data items for Supply Chain transactions using WinShuttle, customized MDM toolsets, Microsoft Office, and SAP. Manage incoming intake requests with a strong customer service focus, ensuring timely communication, issue resolution, and stakeholder satisfaction. Collaborate closely with requestors to gather complete and accurate master data on materials prior to approval and system entry.
2. Governance, Compliance & Data QualityAdhere strictly to defined MDM standards and processes, including data dictionaries, approver matrices, process maps, and change logs. Ensure total compliance with corporate policies, governance frameworks, and established MDM standards. Support data integrity by conducting data validation, completeness reviews, and duplicate checks before entering information into the system. Monitor and improve overall data quality through structured data integrity checks, compliance reporting, audits, and duplicate/obsolescence management. Conduct periodic audits and compile reporting metrics focused on data accuracy, integrity, and compliance.
3. Analytics, Initiatives & SupportAnalyze system data to ensure business processes are being adhered to while maintaining high standards of data quality. Leverage data reporting and analytics tools to design and execute data maintenance cycles, proactively identifying data gaps and driving data cleanup initiatives. Support master data transformation initiatives, including User Acceptance Testing (UAT), system enhancements, and process design improvements. Contribute to the development and maintenance of process documentation, standard training materials, and knowledge transfer resources for team members and business users. Train business users and facilitate cross-training initiatives to enhance team flexibility and operational capability.
Qualifications
Minimum Qualifications
Experience: Minimum of 3 years of professional experience in a Supply Chain function. Technical Skills: Experience working with SAP and LSMW/WinShuttle.
Computer Literacy: Highly proficient in the Microsoft Office Suite with strong overall computer skills.
Execution: Demonstrated ability to manage a large volume of projects and initiatives within tight deadlines.
Core Competencies: Strong attention to detail, high accuracy, and good oral and written communication skills.
Preferred Qualifications (Nice to Have)
Education: Bachelor’s degree in Business, Supply Chain, Engineering, or a related field.
Certifications: Active enrollment in or completion of a recognized Supply Chain certification designation (e.g., ASCM CPIM, CSCP, SCMA, SCMP). Advanced Systems: Previous experience utilizing SAP S/4HANA, Power BI, or Fieldglass platforms is considered an asset.
Functional Background: Direct work experience within a functional stream of the supply chain, such as maintenance planning, materials management, or warehousing.
User Delivery: Prior experience providing user support or delivering training modules.
Summary
The Master Data Analyst reports to the Manager, Inventory Management and Master Data. This role is responsible for the creation, maintenance, and governance of master data to support end-to-end business processes across supply chain, procurement, and finance. The position focuses on ensuring high data quality, integrity, and compliance with organizational standards while collaborating cross-functionally to drive process efficiency and accuracy.
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.
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This role coordinates and executes day-to-day activities across the full master data lifecycle, including data creation, maintenance, and continuous improvement of data quality. The analyst works closely with internal stakeholders and external partners to ensure accurate, complete, and timely master data setup, enabling effective and efficient business operations across the organization.
Advantages
Cross-Functional Collaboration: Partner cross-functionally to drive overall process efficiency and data accuracy.
Diverse Technology Ecosystem: Gain hands-on exposure working with an advanced toolset including WinShuttle, SAP, and custom MDM platforms.
Enterprise Impact: Play a critical role in enabling successful end-to-end supply chain, procurement, and financial operations through high data integrity.
Leadership and Mentorship: Drive continuous improvement by training business users and supporting cross-training initiatives to elevate team capability.
Responsibilities
...
1. Data Creation & Intake ManagementCreate master data items for Supply Chain transactions using WinShuttle, customized MDM toolsets, Microsoft Office, and SAP. Manage incoming intake requests with a strong customer service focus, ensuring timely communication, issue resolution, and stakeholder satisfaction. Collaborate closely with requestors to gather complete and accurate master data on materials prior to approval and system entry.
2. Governance, Compliance & Data QualityAdhere strictly to defined MDM standards and processes, including data dictionaries, approver matrices, process maps, and change logs. Ensure total compliance with corporate policies, governance frameworks, and established MDM standards. Support data integrity by conducting data validation, completeness reviews, and duplicate checks before entering information into the system. Monitor and improve overall data quality through structured data integrity checks, compliance reporting, audits, and duplicate/obsolescence management. Conduct periodic audits and compile reporting metrics focused on data accuracy, integrity, and compliance.
3. Analytics, Initiatives & SupportAnalyze system data to ensure business processes are being adhered to while maintaining high standards of data quality. Leverage data reporting and analytics tools to design and execute data maintenance cycles, proactively identifying data gaps and driving data cleanup initiatives. Support master data transformation initiatives, including User Acceptance Testing (UAT), system enhancements, and process design improvements. Contribute to the development and maintenance of process documentation, standard training materials, and knowledge transfer resources for team members and business users. Train business users and facilitate cross-training initiatives to enhance team flexibility and operational capability.
Qualifications
Minimum Qualifications
Experience: Minimum of 3 years of professional experience in a Supply Chain function. Technical Skills: Experience working with SAP and LSMW/WinShuttle.
Computer Literacy: Highly proficient in the Microsoft Office Suite with strong overall computer skills.
Execution: Demonstrated ability to manage a large volume of projects and initiatives within tight deadlines.
Core Competencies: Strong attention to detail, high accuracy, and good oral and written communication skills.
Preferred Qualifications (Nice to Have)
Education: Bachelor’s degree in Business, Supply Chain, Engineering, or a related field.
Certifications: Active enrollment in or completion of a recognized Supply Chain certification designation (e.g., ASCM CPIM, CSCP, SCMA, SCMP). Advanced Systems: Previous experience utilizing SAP S/4HANA, Power BI, or Fieldglass platforms is considered an asset.
Functional Background: Direct work experience within a functional stream of the supply chain, such as maintenance planning, materials management, or warehousing.
User Delivery: Prior experience providing user support or delivering training modules.
Summary
The Master Data Analyst reports to the Manager, Inventory Management and Master Data. This role is responsible for the creation, maintenance, and governance of master data to support end-to-end business processes across supply chain, procurement, and finance. The position focuses on ensuring high data quality, integrity, and compliance with organizational standards while collaborating cross-functionally to drive process efficiency and accuracy.
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.
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