ERP Business Analyst | Active Secret Clearance Required

Location: Portsmouth Virginia
Type: On-Site
Employment: Permanent

Portsmouth, VA

Overview

An experienced ERP Business Analyst is needed to support a major NAVSEA program in Portsmouth, Virginia.

This role combines ERP systems, business analysis, process improvement, Lean Six Sigma, change management, and data analytics supporting a mission-critical Department of Defense program. The successful candidate will partner with business stakeholders and technical teams to improve processes, support enterprise applications, and drive continuous improvement initiatives.

Responsibilities

  • Analyze business requirements and support ERP application initiatives
  • Gather and document business and functional requirements
  • Serve as the liaison between business stakeholders and technical teams
  • Develop process maps, workflows, and functional specifications
  • Identify opportunities for business process improvements
  • Support change management and governance initiatives
  • Perform data analysis, reporting, and process documentation
  • Support application enhancements, testing, and implementation activities
  • Develop current-state and future-state business process documentation
  • Participate in Continuous Process Improvement initiatives

Qualifications

  • Bachelor’s degree in Business, Engineering, Industrial Operations, or a related field
  • Experience in business analysis, ERP systems, process improvement, and change management
  • Strong analytical, documentation, and communication skills
  • Navy or other Department of Defense experience is strongly preferred
  • Experience supporting NAVSEA environments is a plus
  • Lean Six Sigma Green Belt or Black Belt and PMP certification are a plus

Requirements

  • Current Active Secret Security Clearance
  • U.S. Citizenship Required
  • 100% Onsite in Portsmouth, Virginia

This is an excellent opportunity to contribute to a high-impact federal program focused on improving enterprise business processes and operational efficiency.

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