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.
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Stay updated on industry trends and best practices in fraud detection.
- 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.
Laporkan lowongan