Business Analyst

A Typical Day in the Life Includes:

Basic Qualifications:

• Experience gathering and documenting requirements, user stories, and acceptance criteria.
• Experience analyzing workflows and translating them into clear business rules or system logic.
• Working understanding of how LLMs and AI agents behave (prompting, tool use, retrieval, and failure modes such as hallucination), and the ability to turn that understanding into testable requirements.
• Hands-on experience with at least one GenAI, LLM, agentic, or conversational AI initiative, as a business analyst, product owner, or equivalent.
• Ability to read API documentation and follow architecture-level discussion well enough to write requirements that are technically coherent, without needing to write code.
• Baseline AI literacy: understands how AI works and where it can go wrong, recognizes where it's useful, can direct it effectively, evaluates its outputs before relying on them, and uses it responsibly.
• Uses AI tools in day-to-day analysis and documentation work (for example, drafting stories or summarizing research) and checks the output before relying on it.
• Experience creating documentation, release notes, or other product-related deliverables
• Legal authorization to work permanently in the United States for any employer without requiring a visa transfer or visa sponsorship now or in the future.

Preferred Qualifications:

• Industry domain knowledge in manufacturing, distribution, healthcare, hospitality, public sector, or other enterprise industries
• Familiarity at a conceptual level with Model Context Protocol (MCP), tool calling, or agent frameworks
• Experience defining evaluation criteria or test scenarios for AI features
• Awareness of responsible-AI concerns such as explainability, auditability, and guardrails
• Experience with conversational design, prototyping, or close collaboration with UX teams