Data Analytics Intern - SPX Express

SPX Express; Kuala Lumpur; On-site; MYR 11,160 - 22,320; Full time

Job summary

A logistics company in Kuala Lumpur is seeking an intern to identify operational gaps and collaborate with the operations team. Candidates should be pursuing a Bachelor's degree in relevant fields such as Statistics or Supply Chain, and have experience with SQL and Python. The role involves analyzing data, developing dashboards, and preparing reports. This position offers a chance to work in a fast-paced environment with a strong focus on data analytics.

Qualifications

• Currently pursuing a Bachelor's Degree in a relevant field.
• Experience with analytics query/languages like SQL and Python.
• Strong analytical mindset and ability to work with data.

Responsibilities

• Identify key operational gaps and improvement opportunities.
• Collaborate with the operations team on initiatives.
• Develop dashboards and tools to monitor performance.

Skills

Analytical mindset

Communication skills

Detail-oriented

Adaptable

Interest in BI / Data analytics / Supply Chain

Education

Bachelor's Degree in Statistics, Business, Engineering, or Supply Chain

Tools

SQL

Python

Job description

Job Description

• Identify key operational gaps and improvement opportunities within delivery operations.
• Collaborate with the operations team to design and project manage initiatives across all Hubs in Malaysia.
• Analyze data and results to identify areas for improvement.
• Develop dashboards and tools as required to monitor and track operational performance.
• Prepare proposals and reports for presentation to senior management.

Requirements

• Currently pursuing a Bachelor's Degree in a relevant field such as Statistics, Business, Engineering, or Supply Chain.
• Experience with analytics query/languages like SQL and Python.
• Strong analytical mindset and ability to work with data to derive insights.
• Well-developed interpersonal and communication skills.
• Detail-oriented and adaptable to changes in a fast-paced environment.
• Keen interest in BI / Data analytics / Supply Chain.