Business Analyst - SPX Express (Jakarta)

Shopee; Daerah Khusus Ibukota Jakarta; On-site; USD 30,000 - 60,000; Full time

Job summary

An innovative firm is seeking a data analyst to uncover insights from logistics data and enhance operational efficiency. In this role, you will perform in-depth data analysis to identify patterns of lost and damaged parcels, utilize advanced SQL queries, and collaborate with strategic teams to present your findings. Your expertise in data modeling with Excel and knowledge of Python or R will be invaluable as you work to detect fraud and improve processes. Join a forward-thinking company where your analytical skills can drive significant impact in the logistics and supply chain industry.

Qualifications

• 2+ years of experience in data analysis, risk, or consulting roles.
• Proficiency in SQL and Excel for data modeling.

Responsibilities

• Perform deep data analysis to find patterns in lost & damaged parcels.
• Conduct root cause analysis and recommend process improvements.

Skills

Data Analysis

SQL

Excel Data Modeling

Python

R

Problem-Solving

Job description

Job Description

• Perform deep data analysis to find pattern of lost & damaged parcels
• Use advanced query to play around with logistics data to detect fraud and operational inefficiencies.
• Conduct root cause analysis and recommend process improvements to close loopholes.
• Collaborate with cross-functional and strategic teams to present data insights.
• Stay updated on industry trends and best practices in fraud detection.
  
  

Requirements

• 2+ years of experience in data analysis, risk or consulting roles, and preferably within logistics, supply chain, or fraud detection industries.
• Proficiency in SQL and Excel data modeling for analysis.
• Additional advantage if you're experienced with Python or R for data analysis and modeling.
• Demonstrated ability to work with strategic teams and present data insights effectively.
• Strong problem-solving skills and logical thinking capabilities.