Excelraise, LLC is a leading provider of full-service IT solutions and a talent management company headquartered in Denver, CO. At Excelraise, we specialize in IT staffing solutions tailored for government and federal clients across the USA.

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Excelraise, LLC is seeking a Business Analyst  for our client in Raleigh, NC.

This position requires experience with Agile Methodologies and knowledge of Medicaid program rules, policies, and procedures.

The NC FAST Business Analyst is expected to participate throughout the Software Development Life Cycle (SDLC) and responsibilities include but are not limited to:
Lead Fit/Gap and JAD sessions that map requirements to standard features and functions
Conduct business, operational, financial and comparative analysis used to recommend an effective implementation approach.
Execute data queries to support reporting, analysis, data validation, troubleshooting, and testing
Identify and document business process, issues, value levers, metrics, and capabilities
Develop functional and technical design specifications, process flows, and system documentation to ensure solutions meet business requirements, program objectives, and established standards.
Refine User Stories and establish acceptance criteria identified for features
Support system testing activities, like developing test scenarios, participating in User Acceptance Testing (UAT), and defect tracking
Collaborate with business and technical teams to identify training needs and support user readiness for new or enhanced system functionality, business processes, and operational procedures
Participate in implementation activities supporting the successful delivery of system enhancements and operational improvements.
Provide end-user support by assisting with production support activities, responding to user questions, and helping resolve system related issues.

Preferred Qualifications:
Experience designing intuitive, user-centric UI/UX solutions
Proficiency with SQL for querying and validating data
Experience with Large Language Models (LLMs), including generative AI use cases