Business Analyst Intern - Regional SPX Express (Spring 2027)

Descrizione del lavoro:

We are looking for data-driven individuals to draw insights into delivery performance, optimise network planning, and deep-dive into pain points to debottleneck our scaling efforts.

* Work with large datasets to identify issues and drive improvements that have quantifiable impact, using advanced data analytics tools (SQL, Python).
* Conduct geospatial analysis to evaluate network structures in each market, in order to optimise first and last mile delivery speed and cost
* Work closely with local counterparts in each market to understand their business problems, scaling factors, and boundary conditions
* Drive adoption of Standard Operating Procedures (SOP) and best practices across the region-wide Shopee Xpress network to ensure standardisation of processes
* Communicate ideas and key findings in a logical and structured manner to senior management and other stakeholders
* Manage the roll-out and adoption of tech solutions for different projects, including coordinating User Acceptance Testing (UAT), developing training material, reporting and tracking of impact after roll-out

Requisiti del candidato:

* 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, draw insights from complex data, and design practical and scalable solutions

The Shopee Regional SPX team is committed to providing Shopee's users with the best e-commerce logistics experience in the most cost-effective way.
Positioned at the crossroads of Business, Operations, and Product, the team strives to enhance delivery speed and reliability by creating innovative services to exceed users' expectations. Using the latest technology and data-driven strategies, the team optimises the entire logistics value chain, from seller to the last-mile delivery, and pre-purchase to order completion. With access to extensive data, the team gains insights into logistics operations and user preferences to deep-dive and solve pain points from a first-principles basis