Business Analyst

At UES, we’re a team of more than 4,000 engineers, scientists, geologists, inspectors, technicians, and drillers united by a shared purpose—to make a meaningful impact in the communities we serve. As a national leader in geotechnical engineering, environmental consulting, and materials testing and inspection, we collaborate on transformative projects across transportation, energy, water, healthcare, and more. Learn more about the benefits of joining Team UES and our core values at careers.teamues.com.

Join UES as a Business Analyst in Orlando and be the hands-on driver helping turn manual processes into scalable, AI-enabled workflows in support of our AI Strategy & Integration initiatives. This role will assist with the identification, design, and delivery of AI and automation solutions across the organization—bridging business stakeholders and technical teams to improve and modernize existing processes through applied AI.

You’ll be responsible for understanding current-state workflows, uncovering AI-driven improvement opportunities, defining business and functional requirements for intelligent solutions, and supporting implementation, deployment, and user adoption. This role operates at the intersection of business analysis, digital transformation, and applied AI.

We’re looking for a highly organized, early-career, project-focused Business Analyst who pairs technical literacy with strong project and change-management skills. You focus on user workflows, adoption, and measurable business impact, bring operational empathy from field-facing work or deep frontline immersion, and have proven experience contributing to AI/automation pilots or rollouts.

This is a ground-floor opportunity in UES’s AI journey: you can expect direct engagement with end users, high visibility with leadership, and the chance to deliver measurable improvements that impact thousands of employees while accelerating your career in a fast-growing organization

• AI Opportunity Identification & Process Transformation: Maintain a prioritized pipeline of AI opportunities; map As‑Is and To‑Be workflows; evaluate feasibility, risks, and ROI
• Project Management: Maintain project plans, trackers, and documentation; monitor progress, surface risks, and prioritize workstreams
• Stakeholder Discovery & Requirements Translation: Run end-user discovery sessions and capture action items; translate user needs into clear business requirements, then convert them into functional/technical requirements (user stories, acceptance criteria, decision logic, data needs, success metrics)
• Solution Design & Delivery Support: Design process flows and decision logic; translate needs into technical requirements and collaborate with developers
• Testing & Validation: Define test/UAT scenarios and validate AI outputs, performance, usability, and business alignment prior to release
• Deployment, Training & Hypercare: Support rollout/readiness plans, go‑live execution, and hypercare; create/deliver training materials and gather feedback
• Change Management & Adoption: Prepare communications, gather training feedback, provide go‑live support, and track adoption metrics

The above statements are intended to describe the general nature and level of work being performed. They are not intended to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. UES retains the right to add to or change the duties of the position at any time.

• Bachelor’s degree in Business, IT, or related field; MBA or CBAP preferred.
• 3–5 years of business analysis experience, including leading projects.
• Strong proficiency in data analysis, business modeling, and process documentation.
• Experience with BI tools, SQL, and workflow/process mapping tools.
• Proven ability to manage stakeholder expectations and drive project success.

  Preferred Qualifications:

  • Early‑career (2+ years, internships/co‑ops count) with strong business analysis, process mapping, and documentation skills.
  • Experience in AEC or professional services strongly preferred.
  • Demonstrated experience deploying or integrating AI in production or backend workflows (Claude or similar models preferred) and defining AI/automation use cases.
  • Relentless AI passion — active self‑learning, experimentation, and staying current on AI trends, tools, and agentic/automation techniques (e.g., Copilot, Claude agents).
  • Able to translate business needs into actionable technical requirements, work with Azure DevOps/Jira and APIs/integrations, and create training/change‑management materials.
  • Willingness to travel for deployments/rollouts (approximately 25% on average; may increase/decrease depending on project).
  Travel Requirements:

  This position requires occasional domestic overnight travel, approximately 25% of the time, to support
  business objectives and client engagements. Travel may be both scheduled and on short notice, depending on
  project needs. Destinations typically include job sites, field locations, or regional offices, where work may be
  conducted in outdoor or operational environments. Adherence to all company safety protocols and use of PPE is
  required during travel and on-site work

  Physical Demands & Work Environment:

  • This is an on-site role based in our Orlando office and requires regular in-office attendance. 

     

    On-Site Requirements:

    • Primary work location: Orlando office; regular, in‑person collaboration with team members, clients, and stakeholders is expected.
    • Typical work involves desk-based computer and phone use for extended periods; standard office equipment provided in a climate‑controlled environment.
    • Physical demands: prolonged sitting, occasional standing/walking/bending, and occasional lifting of materials up to 15 lbs.
    • Must be available for on-site workshops, branch visits, and deployment travel as required.
  EEO Statement:

  UES is an Equal Opportunity Employer and is proud to recruit the most qualified candidates. Please see our full EEO Statement at the bottom of the page here