Secret Senior Business Analyst to conduct business requirements gathering, asset classification, and data mapping to improve supply chain processes for a d

Our Valued Public Sector Client is seeking a Secret Senior Business Analyst to conduct business requirements gathering, asset classification, and data mapping to improve supply chain processes for a digital transformation project.

Must Haves:

• Business Analyst (7+ years)
• Supply Chain (3+ years)
• Data Mapping (5+ years)
• Asset Classification (2+ years)

Nice To Have:

• Equipment Taxonomy

Overview:

The FP&R (Force Posture and Readiness) Project supports a large-scale data readiness and digital transformation initiative to modernize how enterprise data is prepared, governed, and used for decision-making. It combines the development of a standardized, interoperable data platform with data profiling, quality assessment, analytics enablement, and governance in a cloud-aligned environment. The Business Analyst will focus on business requirements gathering, asset classification, and data mapping to improve supply chain processes.

Tasks:

• Analyze supply chain data and business processes to support asset classification and taxonomy initiatives. (e.g., Visio, BPMN)
• Gather, document, and validate business requirements in collaboration with stakeholders across supply chain, operations, and IT
• Develop and maintain data mapping rules to ensure consistency and alignment across systems
• Support the design and implementation of data governance and taxonomy frameworks
• Apply knowledge of asset classification and supply chain structures to improve data quality and usability
• Collaborate with cross-functional teams to translate business needs into functional specifications
• Perform data analysis using tools such as Excel, SQL, or visualization platforms to identify trends, gaps, and inconsistencies
• Facilitate workshops, meetings, and discussions to drive alignment on requirements and solutions
• Communicate findings, recommendations, and project updates clearly to both technical and non-technical stakeholders
• Contribute to continuous improvement initiatives by identifying opportunities to enhance data processes and standards