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Senior Business Analysis and/or Data Analysis leadership required to support Client’s enterprise Maximo / EAM transformation project.

Toronto, ON
  • To be discussed
  • Contract job

  • Published since 5 day(s)

  • 1 position to fill as soon as possible

Our GTA based, Municipal Government client requires the services of a senior Business Analyst (and/or Data Analyst) to support their enterprise Maximo / EAM transformation for asset-intensive business functions.


ROLE:


Our Client is seeking a seasoned Maximo-focused Business Analyst who can operate in one or both of the following capacities:

• Maximo Configuration Requirements Lead: plan and facilitate workshops with rail maintenance business SMEs to elicit, validate, and document Maximo configuration requirements, including asset hierarchy/classifications, failure codes, job plans, routes, PMs, meters, inspection forms, work management processes, roles, workflows, reporting needs, and related business rules.

• Maximo Data Analysis Lead: lead and coordinate SMEs and data analysts collecting, cleansing, validating, and mapping asset inventory, asset attribute, job plan, preventative maintenance, route, meter, and inspection form data needed for Maximo configuration, migration, reporting, testing, and operational readiness.

The successful candidate must bring practical IBM Maximo experience, preferably in rail, transit, transportation, maintenance, or other asset-intensive operating environments. The role requires someone who can engage frontline and management stakeholders, translate operational maintenance practices into Maximo-ready requirements and data structures, and provide clear direction to business SMEs, technical teams, vendors, and project leadership.

This assignment is not intended for a generic Business Analyst. The candidate must demonstrate hands-on experience with Maximo or a comparable enterprise asset management platform, including requirements elicitation, configuration support, master data preparation, data quality analysis, and implementation support.

MUST HAVE:


• University degree in Business Administration, Computer Science, Engineering, Information Systems, or a related discipline.

10+ years of business consulting, business analysis, data analysis, or implementation experience in complex enterprise environments.

5+ years of experience supporting maintenance, operations, field service, rail/transit, utilities, manufacturing, or other asset-intensive business functions.

3+ years of hands-on IBM Maximo experience in an implementation, upgrade, enhancement, configuration, data migration, or business process alignment role. Equivalent EAM experience may be considered only where the candidate can demonstrate strong practical knowledge of EAM data structures and maintenance processes.

• Demonstrated ability to facilitate workshops with business SMEs to collect, clarify, challenge, and document Maximo/EAM configuration requirements.

• Demonstrated understanding of Maximo/EAM concepts such as asset hierarchies, locations, classifications, attributes, job plans, preventative maintenance, routes, meters, inspection forms, failure reporting, work orders, service requests, labor/craft information, inventory/materials, and reporting requirements.

• Strong SQL and data analysis skills, including data profiling, data quality assessment, reconciliation, validation, issue identification, and preparation of business-readable findings.

• Experience leading or coordinating data collection activities with SMEs and data analysts, including asset inventory, asset attributes, job plans, PMs, routes, meters, and inspection form data.

• Experience with data mapping, cleansing, migration support, data governance, data quality controls, and validation rules in an enterprise system implementation.

• Advanced Microsoft Excel skills, including complex formulas, pivot tables, data validation, lookups, and structured data analysis; experience with Access, Power Query, Power BI, Visio, and/or similar tools is an asset.

• Experience preparing Maximo/EAM configuration workbooks, data load templates, requirements traceability matrices, fit-gap logs, decision logs, data dictionaries, and validation reports.

Disclaimer:
AI may be used in evaluating candidates.
This posting is for an existing vacancy.
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