Shipment Data Analytics Specialist

PT Qinfa Mining Industri; Jakarta Utara; On-site; IDR 60,000,000 - 90,000,000; Full time

Job summary

PT Qinfa Mining Industri is seeking a Data Analyst to manage shipment and logistics data. You will collect, process, validate, and analyze data related to shipment activities, and prepare reports to monitor performance for operational efficiency.

You will build dashboards and data-driven insights, reconciling data from multiple sources and collaborating with various departments to drive improvements in shipment processes.

Qualifications

• Diploma or Bachelor's degree in Data Analytics, Statistics, Engineering, Logistics, or related field.
• Proven 1–2 years in Data Analyst, Data Controller, Shipment Controller, or related role.
• Proficiency in processing, analyzing, and presenting data using Excel.

Responsibilities

• Collect, process, validate, and analyze data related to shipment activities.
• Prepare daily, weekly, and monthly shipment reports.
• Calculate and monitor Effective Shipment Time for each shipment activity.
• Perform Laytime Calculations aligned with field data.
• Monitor shipment progress, loading/unloading, waiting, idle times.
• Identify delays, bottlenecks, deviations, and inefficiencies in shipments.
• Create dashboards and presentations for management review.
• Ensure data accuracy, completeness, and consistency across sources.
• Data reconciliation between shipment data, operational reports, and other departments.

Skills

Data analysis

Data processing

Advanced Excel (VLOOKUP/XLOOKUP)

Pivot tables

AI-assisted data analysis

Detail-oriented

Data storytelling

Education

Diploma (D3) / Bachelor's degree

Tools

Microsoft Excel

Microsoft PowerPoint

AI tools

Job description

PT Qinfa Mining Industri is seeking a Data Analyst to manage shipment and logistics data. You will collect, process, validate, and analyze data related to shipment activities, and prepare reports to monitor performance for operational efficiency.

You will build dashboards and data-driven insights, reconciling data from multiple sources and collaborating with various departments to drive improvements in shipment processes.