AI Automation Analyst
Listed on 2026-10-23
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IT/Tech
Business Systems & Technology Analysis, IT Business Analyst, Data Analyst, Business Intelligence
AI Automation Analyst
Location:
9742 S 142nd St, Omaha, NE 68138
Schedule:
Monday - Friday | HYBRID
Compensation:
Competitive Base Salary + Bonus
Southern Carlson is a leading distributor of the most recognized brands of construction and packaging tools, fasteners, jobsite supplies, and expert service across North America. With deep roots in the construction and industrial supply industry, we serve contractors, builders, and manufacturers with an unwavering commitment to reliability, integrity, and performance.
Our success is built not only on the quality of our products and services, but on a company culture that values people, relationships, and the drive to go above and beyond. We believe that how we serve is just as important as what we deliver.
At Southern Carlson, we’re more than a supplier, we’re a service-driven partner focused on building long-term relationships and delivering results. Join us, and be part of a team that values excellence, urgency, and relentless improvement.
Position Overview:The AI Automation Analyst will identify opportunities to streamline and improve business operations through AI, automation, and data-driven solutions. This role partners with teams across the organization to analyze workflows, uncover inefficiencies, and design, build, test, and implement automation solutions using Python, LLM technologies, databases, and systems integrations. The position owns the full automation lifecycle, including requirements gathering, solution development, user training, performance monitoring, and continuous improvement, while measuring business impact and prioritizing initiatives that deliver the greatest operational value.
Responsibilities- Work with teams across the business to map how work actually gets done, including the routine, repetitive, and duplicated effort nobody wrote down
- Analyze those workflows to define the real problem, trace it back to the data behind it, and prioritize use cases on value, impact, feasibility, and risk
- Build the solutions:
Python scripts and LLM pipelines that classify, extract, match, and validate data, plus the automations and review screens that go with them - Document requirements and own design, configuration, and rollout alongside the teams who will use the result
- Build the business case: cost-benefit analysis, implementation plan, and the measures of success
- Test AI output against known-good results before go-live, run UAT with business users, and set the thresholds for what is auto-approved versus routed to a human
- Train users and build their confidence with AI-enabled tools through hands-on sessions, documentation, and ongoing support
- Monitor usage and performance after launch, catch failures and drift, and act on improvement opportunities
- Measure and report the impact: time returned to the team, errors avoided, and work made possible that was not before
- Stay current on emerging AI tools and platforms, and make recommendations on what we should adopt
- Own the automation backlog and make the call on what gets built next
- 3+ years in business process analysis, business systems, or operations, in a role where you built things rather than only recommended them
- Hands‑on database experience, ideally PostgreSQL or SQL Server; exposure to No
SQL or document stores is useful - Working Python skills: able to write and modify scripts that move, transform, and validate data
- Hands‑on experience with LLM APIs, including prompt design and structured outputs, not just chat-window usage
- Daily use of AI coding assistants (such as Cursor, Claude Code, ChatGPT, or Claude) to build real working output.
- Experience integrating systems through APIs, files, or a platform such as Workato, Power Automate, or Zapier
- Experience with ERP or…
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