Dev Business Analyst, Senior

Role overview

Typical responsibilities

• Gather and document business and functional requirements; produce BRDs, FSDs, and user stories.
• Facilitate requirements workshops, define scope, and align business and IT expectations.
• Support the SDLC, Agile ceremonies, UAT, defect tracking, and validation of fixes.
• Maintain process flows, use case models, and data mapping documents; coordinate with global and cross-functional teams.
• Identify process optimization and automation opportunities and prepare stakeholder documentation, reports, and presentations.
• Create and edit video-based requirements, demonstrations, explainers, walkthroughs, and training content.
• Use AI-assisted analysis to synthesize input, identify gaps, draft requirements, and support validation of AI-enabled features.

Basic qualifications

• MBA or equivalent degree in Information Technology, Systems, or Business Analytics.
• 6–9 years of senior business analyst experience in enterprise or technology-driven environments.
• Strong business process knowledge and ability to map processes to system capabilities; sound knowledge of Agile and SDLC.
• Excellent communication, documentation, and stakeholder management skills; able to manage priorities and work cross-functionally.
• Proficiency in MS Office, JIRA, and Confluence.
• Working proficiency with Camtasia and Microsoft Clipchamp for creating and publishing business and product videos.
• Practical understanding of generative AI, large language models, prompt design, AI-assisted analysis, and AI limitations.
• Ability to define AI-focused business requirements and review AI outputs for accuracy, completeness, bias, privacy, security, and business alignment.

Advantageous and preferred experience

• ERP systems, especially manufacturing systems such as Infor M3, SAP, or Oracle; SQL, APIs, or data analytics tools are advantageous.
• Preferred hands-on experience in business analysis, process configuration, Quote-to-Cash, or Procure-to-Pay.
• Process modeling tools, UML diagrams, CPQ workflows, and data-driven decision-making with Power BI, Tableau, or equivalent tools are preferred.
• CBAP, CCBA, or PMI-PBA certifications are a plus.
• Hands-on use of enterprise AI assistants or copilots for analysis, documentation, research, meeting synthesis, or stakeholder communication is preferred.