Data Analyst – Maximo Asset Management

Job title:

Data Analyst – Maximo Asset Management

Company

Randstad

Job description

Deliverables
The Maximo Asset Management Data Analyst is responsible for managing, analyzing, and ensuring the integrity of asset management data within IBM. This role plays a critical part in the implementation, configuration, and optimization of Maximo’s asset data framework, supporting enterprise-wide asset management strategies and ensuring alignment with organizational objectives.Data Management and Quality:
Manage and maintain asset-related data in Maximo, ensuring data accuracy, completeness, and compliance with organizational standards. Perform regular audits, validations, and data cleansing to uphold data integrity.Implementation and Configuration:
Collaborate with implementation teams to configure asset management needs, including developing workflows, data structures, and integration point.Assist in the migration of data from legacy systems to Maximo, ensuring seamless transitions.Analysis and Reporting:
Develop and generate reports, dashboards, and insights using Maximo’s reporting tools to support decision-making processes. Analyze asset performance data and recommend improvements to enhance efficiency and reduce operational costs.Support and Training:
Provide end-user support for data related issues in Maximo, including troubleshooting and resolving discrepancies. Deliver training to users on best practices for data entry, usage, and reporting within Maximo.Integration and Collaboration:
Collaborate with IT and business teams to integrate Maximo with other enterprise systems (e.g., ERP, GIS, IoT).
Support ongoing projects and initiatives requiring Maximo data expertise, including system upgrades and enhancements.Advantages
Hybrid – 2 days a week.
Work Location – Mississauga
Working hours 7
Workday 8:30 AM to 4:30 PMResponsibilities
Deliverables
The Maximo Asset Management Data Analyst is responsible for managing, analyzing, and ensuring the integrity of asset management data within IBM. This role is critical in implementing, configuring, and optimizing Maximo’s asset data framework, supporting enterprise-wide asset management strategies, and ensuring alignment with organizational objectives.Data Management and Quality:
Manage and maintain asset-related data in Maximo, ensuring data accuracy, completeness, and compliance with organizational standards. Perform regular audits, validations, and data cleansing to uphold data integrity.Implementation and Configuration:
Collaborate with implementation teams to configure asset management needs, including developing workflows, data structures, and integration point. Assist in the migration of data from legacy systems to Maximo, ensuring seamless transitions.Analysis and Reporting:
Develop and generate reports, dashboards, and insights using Maximo’s reporting tools to support decision-making processes. Analyze asset performance data and recommend improvements to enhance efficiency and reduce operational costs.Support and Training:
Provide end-user support for data-related issues in Maximo, including troubleshooting and resolving discrepancies. Deliver user training on best practices for data entry, usage, and reporting within Maximo.Integration and Collaboration:
Collaborate with IT and business teams to integrate Maximo with other enterprise systems (e.g., ERP, GIS, IoT). Support ongoing projects and initiatives requiring Maximo data expertise, including system upgrades and enhancements.Qualifications

• IBM Certified Deployment Professional – Maximo Asset Management ( Mandatory )
• Bachelor’s degree in Information Systems, Data Management, Engineering, or a related field.
• Minimum of 3-5 years of experience working with IBM Maximo, particularly in data management or asset management roles.
• Proven experience in data analysis, reporting, and database management (SQL experience preferred).
• Familiarity with modules like Asset, Work Order, and Inventory Management.
• Strong knowledge of data governance principles and best practices.
• Proficiency in Maximo configuration, data import/export tools, and automation scripts.
• Analytical mindset with excellent problem-solving skills.
• Strong communication skills to collaborate effectively with technical and non-technical stakeholders.
• Ability to manage multiple tasks and projects with attention to detail and deadlines.
• ITIL Certification or equivalent – Nice to have

Summary
Our clients Maximo Project Team is looking to augment the existing team with an experienced Maximo Asset Management Data Analyst. Scope includes managing
data from live business units and future implementations.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.

Expected salary

Location

Brampton, ON

Job date

Wed, 08 Jan 2025 00:32:10 GMT

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