Technical Business Analyst

Jonas Software

1d•Remote

About The Position

The Technical Business Analyst is responsible for translating business needs, operational workflows, and customer objectives into clear, structured, technically detailed, and machine-readable specifications that support the development, integration, scalability, and ongoing evolution of Computrition’s products and platform. This role operates at the intersection of business processes, product functionality, customer workflows, and technical systems. The Technical Business Analyst develops a deep understanding of system architecture, databases, integrations, workflows, and service interactions, while leveraging AI-enabled tools and AI-assisted development workflows to accelerate analysis, documentation, troubleshooting, and solution design. The role is fundamentally technical in nature, while also ensuring that technical solutions support customer adoption, workflow optimization, operational efficiency, and measurable business outcomes. The Technical Business Analyst evaluates how product capabilities, workflows, and platform decisions impact customer value realization, scalability, revenue growth, operational performance, retention, and long-term profitability for both customers and Computrition. The Technical Business Analyst is part of the Product Management organization and partners closely with Engineering (R&D), Platform Engineering, Customer Success, Support, Sales, and cross-functional teams to ensure requirements are complete, technically sound, operationally scalable, and aligned with both customer outcomes and business priorities. This position reports to the Vice President of Product Management.

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
Strong understanding of: 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

Nice To Haves

Experience in foodservice, healthcare, or related industries preferred
Ability to travel approximately 25%

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