AI Automation Systems Analyst

Socotra, Inc.; Northern (KY); Hybrid; USD 150,000 - 230,000; Full time

Benefits offered by this job

Total Rewards

Health & Wellness

Job summary

Avalara, a leading AI-first company, seeks a Business Systems Analyst to translate complex workflows into structured AI-enabled requirements. You will work with AI Automation Engineers to define system interactions, data mappings, and governance for scalable automation programs.

Responsibilities include discovery, solution definition, data/interface analysis, and delivery enablement, with a focus on reducing ambiguity and improving delivery predictability across enterprise workflows.

Qualifications

• BS in Computer Science or Engineering (required).
• 5+ years of experience as a Business Systems Analyst or Techno-Functional Analyst.
• Experience with AI automation, enterprise workflows, APIs, n8n, Boomi, or automation platforms.
• Strong understanding of Agentic AI, REST APIs, webhooks, JSON, data mapping concepts, and workflow orchestration.
• Experience documenting requirements for automation and AI-enabled workflows.
• Ability to interpret technical design documents and collaborate with AI Automation Engineers.

Responsibilities

• Requirements Discovery & Process Analysis: gather, analyze, and document AI automation requirements.
• AI Integration -Focused Solution Definition: translate needs into functional and technical requirements.
• Data & Interface Analysis: analyze data flows and define mappings and auditability needs.
• Delivery Enablement & Collaboration: participate in backlog grooming and testing.
• Governance & Continuous Improvement: standardize templates and improve maturity.

Skills

AI automation

n8n

Boomi

APIs

REST APIs

JSON

Workflow orchestration

Requirements documentation

Data mapping

Education

BS in Computer Science or Engineering

Job description

Avalara, a leading AI-first company, seeks a Business Systems Analyst to translate complex workflows into structured AI-enabled requirements. You will work with AI Automation Engineers to define system interactions, data mappings, and governance for scalable automation programs.

Responsibilities include discovery, solution definition, data/interface analysis, and delivery enablement, with a focus on reducing ambiguity and improving delivery predictability across enterprise workflows.