Business Operations & Automation Analyst Ford Champ

In this role you will be helping to support the following tasks:

• Business Operations Management: 
  • Track and analyze budget usage, specifically regarding personnel & non-personnel, ensuring alignment with annual forecasts.
  • Manage the creation and tracking of Purchase Orders (POs) and budget approvals.
  • Maintain accurate Team Rosters, Organizational Charts, and Distribution Lists.
• Data Analysis & Reporting: 
  • Develop "Health Charts" and dashboards to visualize status for business-related tasks.
• Conduct ad-hoc resource studies and workload analysis to support VHE leadership.
• Process Automation & Optimization: 
  • Analyze current administrative workflows (reporting, tracking, roster management) to identify bottlenecks.
  • Develop and deploy automation solutions (using Excel VBA/Macros, Python, PowerBI Power Automate) to reduce manual data entry.
• Leverage AI tools (e.g., Large Language Models, Copilot, Opencode) to summarize meeting notes, draft communications, and accelerate data analysis.

• Education: Currently enrolled in the final year or recently graduated in Engineering (Mechanical, Mechatronics, Aeronautical, Automotive) or a related technical discipline. 
• Technical Proficiency: 
• Advanced Microsoft Office: Deep knowledge of Excel is required. Experience creating Macros or using VBA is highly preferred.
• Coding & Scripting: Familiarity with basic coding logic (Python, SQL, or similar) to assist in automating data tasks.
• AI Literacy: Interest in and familiarity with using AI tools to improve productivity and streamline processes (LLM, opencode, etc).
• Core Competencies: 
  • Analytical Mindset: Ability to sort through complex databases and visualize data effectively.
  • Proactivity: A self-starter who looks for ways to improve existing systems without being asked.
  • Communication: Strong English proficiency (written, reading, and oral) with the ability to document agreements and technical processes clearly.
• Preferred (Bonus) Skills: 
  • Experience with data visualization tools (e.g., Power BI, Tableau).
  • Understanding of Automotive Systems.
• Strong English Proficiency (written, read, and oral).