AI Innovation & Automation Analyst- Fleet

Beacon Mobility•Beacon, IA
•$75,000 - $100,000

About The Position

The AI Innovation & Automation Analyst, Fleet helps Beacon Mobility identify smarter ways to work using artificial intelligence, automation, data, and process improvement. Reporting to the VP of Asset Strategy, the analyst works closely with the Asset Management, Fleet Maintenance, and Midwest Bus Sales teams, and partners with teams across multiple business units to reduce manual work, improve efficiency, and enhance the employee experience. The role builds practical solutions that connect AI tools with enterprise data and existing business systems. This role is suited to someone early in their career who is interested in applying AI to business problems, analyzing data, and helping people work more effectively. It requires a foundation in Python, SQL, and technical problem-solving, as well as curiosity, business acumen, willingness to learn, and an interest in process improvement.

Requirements

  • Bachelor's degree or equivalent working experience.
  • Excellent communication skills.
  • Ability to translate business needs and process requirements into clear technical requirements.
  • Ability to document and map technical and physical workflows.
  • Strong analytical and problem-solving abilities.
  • Comfortable learning new technology quickly.
  • Working proficiency in Python and SQL.

Nice To Haves

  • Hands-on experience designing or deploying MCP servers, custom large language model tool-calling interfaces, or similar middleware that connects AI models to external systems.
  • Experience building Python-based APIs, integrations, or data connectors.
  • Experience with process automation tools such as Power Query, Power Automate, or UiPath.
  • Internship or project experience involving analytics, process improvement, or technology.

Responsibilities

  • Identify repetitive tasks that could be simplified through AI or automation.
  • Design, test, and implement AI-powered workflows and business solutions with cross-team stakeholders and business partners.
  • Assist with creating AI prompts, copilots, knowledge bases, and automated processes.
  • Research emerging AI tools and recommend practical business applications.
  • Participate in pilots and implementation projects.
  • Document current business processes, system flows, and physical work.
  • Identify bottlenecks and inefficiencies.
  • Translate business needs and user questions into clear technical requirements.
  • Recommend opportunities to simplify work.
  • Help teams standardize and improve processes.
  • Support continuous improvement initiatives.
  • Write and improve SQL queries and Python scripts to access, combine, validate, and analyze data.
  • Build simple dashboards and reports and analyze workflow and operational data.
  • Design efficient queries or simple data layers for AI tool calls.
  • Track adoption and effectiveness of AI solutions.
  • Measure time savings and productivity improvements.
  • Present findings to leadership.
  • Support communication and change management efforts.
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