COINS ERP Optimisation Specialist – Hybrid London

Consult; Greater London; Hybrid; GBP 111,000 - 129,000; Full time

Job summary

Cedar is supporting an established UK organisation to engage a COINS ERP Optimisation Consultant to improve how the business uses its existing COINS platform. This is not a new implementation; the consultant will act as a hands-on COINS SME, assessing the current environment and delivering practical improvements.

Based in Central London with hybrid working, the role focuses on configuration, workflows and reporting, delivering improvements and a clear roadmap for future optimisation.

Qualifications

• Strong hands-on COINS ERP experience.
• Experience optimising or improving an existing COINS environment.
• Strong understanding of COINS configuration, workflows and reporting.

Responsibilities

• Review the existing COINS environment, configuration and current usage.
• Identify underutilised functionality, inefficient processes and manual workarounds.
• Deliver improvements across COINS configuration, workflows and reporting.
• Work with Finance, Commercial, Procurement and operational stakeholders to understand requirements.
• Identify opportunities for greater automation and improved data visibility.
• Establish COINS best practice and improve internal system capability.
• Provide user training, documentation and knowledge transfer.
• Develop a roadmap for further optimisation and support the eventual handover to an internal BAU systems resource.

Skills

COINS ERP

Stakeholder management

Training delivery

Job description

Cedar is supporting an established UK organisation to engage a COINS ERP Optimisation Consultant to improve how the business uses its existing COINS platform. This is not a new implementation; the consultant will act as a hands-on COINS SME, assessing the current environment and delivering practical improvements.

Based in Central London with hybrid working, the role focuses on configuration, workflows and reporting, delivering improvements and a clear roadmap for future optimisation.