Technical Business Analyst

Computrition, Inc. is the leading provider of fully integrated foodservice and nutrition management software systems. The Technical Business Analyst is responsible for translating business needs into structured, technical specifications that support the development and integration of Computrition’s products and platform, while also optimizing customer workflows and operational efficiency.

Responsibilities:

• Gather, analyze, and document business, operational, customer, and system requirements across multiple products and platforms
• Translate business needs into clear, structured, technically detailed, and machine-readable specifications using frameworks such as Kiro and Specs.md
• Create and maintain living specifications that evolve alongside product and system changes
• Ensure requirements are complete, testable, scalable, and aligned with platform capabilities and business objectives
• Support backlog refinement by providing detailed requirement context, workflow analysis, and technical clarity
• Evaluate technical feasibility, workflow impact, operational implications, scalability considerations, and customer outcome impact of proposed solutions
• Identify opportunities to simplify workflows, reduce manual effort, improve automation, enhance usability, and increase operational efficiency across customer and internal experiences
• Incorporate customer adoption, operational performance, workflow scalability, revenue impact, and business value considerations into solution analysis and specification development
• Analyze customer workflows, operational processes, support trends, and platform usage patterns to identify opportunities for optimization, automation, and improved adoption
• Evaluate how technical solutions, workflows, integrations, and system interactions impact customer experience, operational effectiveness, scalability, retention, and long-term customer value realization
• Partner with Product, Customer Success, Support, Sales, and customer-facing teams to identify workflow friction, adoption barriers, recurring operational pain points, and opportunities to improve product utilization and customer outcomes
• Translate operational and customer insights into scalable technical and workflow improvements that support customer satisfaction, revenue growth, and profitability
• Support measurement and analysis of workflow effectiveness, operational outcomes, product adoption, and process efficiency to inform continuous improvement initiatives
• Contribute to initiatives that improve platform usability, increase automation, reduce operational complexity, accelerate customer time-to-value, and improve long-term product utilization
• Develop deep knowledge of: Product architecture and system interactions, Database structures, SQL queries, and utilities, APIs, services, and integrations between systems, Multi-system workflows, dependencies, and data flows
• Analyze how changes in one system impact the broader product ecosystem, customer workflows, and operational processes
• Partner with Engineering to define data flows, service contracts, and integration requirements
• Proactively identify areas of technical debt, inefficiency, scalability risk, workflow complexity, or operational friction
• Support platform modernization and cross-product technical initiatives that improve scalability, maintainability, performance, and operational efficiency
• Assess technical solutions through the lens of customer impact, implementation scalability, operational supportability, and long-term business value
• Use AI tools and AI-assisted development frameworks such as ChatGPT, Claude, Gemini, Kiro, and Specs.md to: Synthesize requirements from customers, support teams, and internal stakeholders, Generate and refine technical specifications, workflows, user stories, and acceptance criteria, Analyze logs, support tickets, system behavior, workflow patterns, and operational data to identify issues, trends, and optimization opportunities, Identify workflow bottlenecks, operational inefficiencies, adoption challenges, and opportunities for process improvement, Create structured, machine-readable product specifications using frameworks such as Kiro and Specs.md to support AI-assisted development workflows, Improve documentation quality, consistency, accessibility, scalability, and reusability, Leverage AI-assisted workflows to improve speed, quality, consistency, scalability, and reusability of technical analysis and specification development, Accelerate troubleshooting, root cause analysis, and insight generation across complex systems and workflows
• Partner with Platform Engineering (R&D) on cross-product technical initiatives, including technical debt reduction, system modernization, scalability improvements, and platform optimization
• Analyze and document complex technical issues and escalated cases, identifying root causes and defining clear requirements for resolution
• Use AI tools to synthesize logs, support tickets, workflow data, and system insights to accelerate analysis and troubleshooting
• Translate platform and engineering needs into structured, machine-readable specifications using tools such as Kiro and Specs.md
• Assess cross-system impact of fixes and enhancements to ensure stability, consistency, scalability, and operational effectiveness across the product ecosystem
• Support prioritization of platform initiatives by balancing technical risk, operational impact, customer outcomes, revenue implications, and business priorities
• Help define and document workflow improvements that increase automation, reduce friction, improve consistency, and enhance long-term customer and business value
• Act as a liaison between business stakeholders and technical teams
• Collaborate closely with Product Managers to ensure requirements align with product strategy, customer outcomes, operational priorities, and business objectives
• Partner with Engineering to clarify requirements, resolve gaps, and support successful implementation
• Partner with Customer Success, Support, Sales, and customer-facing teams to ensure solutions support adoption, workflow efficiency, retention, expansion opportunities, and measurable business outcomes
• Support QA and testing efforts through clear acceptance criteria and expected system behavior definitions
• Contribute to internal enablement, documentation, training materials, and knowledge sharing

Requirements:

• Strong experience in business analysis, systems analysis, technical product support, or related roles
• Proven ability to translate business, operational, customer, and technical needs into detailed technical requirements
• Experience working closely with engineering teams in software delivery environments
• Experience analyzing workflows, operational processes, customer journeys, or platform usage to identify improvement opportunities and measurable outcomes
• Strong understanding of how product adoption, operational efficiency, scalability, and customer outcomes contribute to business growth and profitability
• Strong understanding of databases, SQL, data structures, and querying
• Strong understanding of APIs, services, and system integrations
• Strong understanding of multi-system environments, workflows, and data flows
• Experience with development and collaboration tools such as Azure DevOps, Jira, or similar platforms
• Hands-on experience using AI tools to improve analysis, documentation, troubleshooting, workflow optimization, and specification development
• Experience using LLMs and AI platforms such as ChatGPT, Claude, and Gemini
• Experience using structured documentation frameworks and AI-assisted development tools such as Kiro and Specs.md
• Experience working within AI-assisted software delivery and specification-development workflows
• Ability to create structured, precise, reusable, scalable, and machine-readable specifications using AI-assisted workflows
• Strong prompt writing and analytical reasoning skills
• Comfort working in an AI-enabled product development environment
• Excellent analytical, communication, and problem-solving skills
• Strong attention to detail and systems-thinking capabilities
• Demonstrated ability to balance technical requirements with customer experience, operational efficiency, adoption, scalability, and business value considerations
• Ability to travel approximately 25%
• Experience in foodservice, healthcare, or related industries preferred