Logistics Data Intern: Optimize Delivery & Networks

SPX Express

Singapore

On-site

SGD 20,000 - 33,000

Part time

13 days ago
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Job summary

SPX Express is seeking data-driven individuals to derive insights from delivery performance and optimise network planning across the Shopee Xpress region. You will work with large data sets and apply SQL and Python to identify bottlenecks and drive improvements.

The role focuses on geospatial analysis, collaboration with market teams, and supporting rollout of tech solutions to enhance first and last mile efficiency.

Qualifications

  • Currently pursuing a Bachelor’s degree or above in any related discipline.
  • Proficiency in Microsoft Excel, SQL and Python is a plus.
  • Interest to build broad capabilities in strategy, operations, and data analytics in the e-commerce industry.
  • Ability to thrive in a dynamic and collaborative work environment to achieve business goals and make an impact.
  • Ability to break down complex problems into small actionable steps and draw insights from data.

Responsibilities

  • Work with large datasets to identify issues and drive improvements with quantifiable impact using analytics tools (SQL, Python).
  • Conduct geospatial analysis to evaluate network structures and optimise delivery speed and cost.
  • Collaborate with local counterparts to understand business problems, scaling factors, and boundary conditions.
  • Drive adoption of SOPs and best practices across the region-wide Shopee Xpress network for standardisation.
  • Communicate key findings clearly to senior management and stakeholders.
  • Assist in rolling out tech solutions, including coordinating UAT, developing training material, and tracking impact.

Skills

Data-driven
Analytical thinking

Education

Bachelor’s degree or above

Tools

SQL
Python
Excel

Job description

SPX Express is seeking data-driven individuals to derive insights from delivery performance and optimise network planning across the Shopee Xpress region. You will work with large data sets and apply SQL and Python to identify bottlenecks and drive improvements.

The role focuses on geospatial analysis, collaboration with market teams, and supporting rollout of tech solutions to enhance first and last mile efficiency.

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