Performance Analytics & Automation Intern (SPX Express)

Department Business Intelligence and Data Analytics

LevelInternship

LocationBangkok

The Business Intelligence and Data Analytics team plays a critical role in conducting close-loop data-driven business iterations. As business intelligence specialists and data analysts, our scope of work is not limited to just performance monitoring and reporting, but also in proactively finding actionable insights to help drive high-impact business changes. Our end-to-end data solution reduces the gap between the business teams and technical teams, and achieves real ‘intelligence’ in the iteration cycle. Browse our Business Intelligence and Data Analytics team openings to see how you can make an impact with us.

Job Description:

• Build & Maintain Automated Workflows: Design and deploy workflows using n8n (a workflow automation tool) to connect logistics data streams with Smart (internal/external sheets/databases) and Claude AI.
• Functional Gap Analysis: Utilize automated prompts to analyze daily and weekly performance reports, automatically flagging operational bottlenecks and explaining why certain lanes or hubs are underperforming.
• Data Pipeline Monitoring: Ensure the automation pipeline runs smoothly, translating complex logistics metrics into easily digestible, automated deep-dive summaries for management.
• Track Simple Performance Metrics: Monitor core Key Performance Indicators (KPIs) such as Success Failure Rates (SFR), Lead Time compliance, and Hub-to-Hub processing speeds.
• Optimize Lane Performance: Identify underperforming transit lanes and collaborate with regional teams to establish simple, actionable control metrics that improve overall lane health.
• Reporting & Data Visualization: Help build and maintain simple dashboards or tracking sheets to give the operations team a clear view of daily performance trends.

Requirements:

• Familiarity with or a strong desire to learn low-code automation tools (like n8n, Make, or Zapier) and leveraging LLM APIs (like Claude or OpenAI).
• Data Literacy: Solid proficiency in Microsoft Excel or Google Sheets (vlookup, pivot tables, basic data structuring). Experience with SQL or Tableau/PowerBI is a strong plus but not mandatory.
• Communication: Good communication skills in Thai and English to collaborate with cross-functional and regional teams.