Timeliness Performance Analyst

J&T Cargo Indonesia (PT Global Yimi Cargo); Jakarta Pusat; On-site; IDR 78,120,000 - 133,920,000; Full time

Job summary

J&T Cargo Indonesia (PT Global Yimi Cargo) is seeking a data-focused analyst to conduct timeliness performance analysis and identify delays across operations. You will monitor data accuracy, detect outliers, and provide clear insights to stakeholders to drive improvements.

The role requires strong Excel and PowerPoint skills, plus the ability to communicate in Mandarin. Detail-oriented, proactive problem solving and data-driven decision making are essential for success.

Qualifications

• Proficient in data analysis using Excel for reporting.
• Able to communicate in Mandarin (spoken; written a plus).
• Strong logical thinking and analytical comprehension skills.

Responsibilities

• Conduct daily and periodic timeliness performance analysis to identify delays and operational inefficiencies.
• Monitor data accuracy and trends, with strong sensitivity to abnormal or outlier data points.
• Identify root causes of timeliness issues and provide clear analysis-based insights.
• Follow up on identified issues in a timely manner and ensure proper feedback is communicated to relevant stakeholders.
• Support the establishment of improvement mechanisms and track corrective actions to ensure continuous performance improvement.
• Prepare analytical reports and presentations for internal review and management reporting.

Skills

Data analysis

Analytical thinking

Microsoft Excel

PowerPoint

Mandarin language

Tools

Microsoft Excel

PowerPoint

Job description

J&T Cargo Indonesia (PT Global Yimi Cargo) is seeking a data-focused analyst to conduct timeliness performance analysis and identify delays across operations. You will monitor data accuracy, detect outliers, and provide clear insights to stakeholders to drive improvements.

The role requires strong Excel and PowerPoint skills, plus the ability to communicate in Mandarin. Detail-oriented, proactive problem solving and data-driven decision making are essential for success.