Regional Strategy and Operations Analyst - Regional Logistics (2027 Graduate)

SHOPEE SINGAPORE PRIVATE LIMITED; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

Shopee Singapore Private Limited is seeking a Strategy and Operations Analyst to design data-driven solutions that improve deliveries, warehouse efficiency, and overall costs.

You will leverage SQL and Python to analyse datasets, collaborate with cross-functional teams, and develop plans that shape network design and operational scalability at scale.

Qualifications

• Proficiency in SQL and Python, translating data into actionable insights.
• Strong analytical and structured thinking, turning complex problems into practical solutions.
• Experience in operations analytics, data analytics, or data-driven roles (internship or full-time).
• Ability to explain technical findings to both technical and business stakeholders.

Responsibilities

• Evaluate and refine logistics processes to enhance efficiency and reduce costs.
• Analyse diverse datasets on operations and user behaviours to inform decisions.
• Support discussions with stakeholders and help define clear operational objectives.
• Translate strategic goals into actionable plans and contribute to their execution.
• Monitor outcomes of new initiatives and provide data-driven insights for refinement.

Skills

SQL

Python

Data analytics

Education

Bachelor's degree

Job description

At Shopee, logistics is the backbone of connecting millions of buyers and sellers across Southeast Asia. As a Strategy and Operations Analyst, you'll play a pivotal role in shaping this massive network-designing data-driven solutions that make deliveries faster, warehouses smarter, and operations more cost-efficient.

Leveraging data, analytics, optimisation models, and collaboration with cross-functional teams, you'll drive innovations that directly influence strategy and transform the user experience at scale.

You may work on projects such as:

• Designing the transportation network, deciding the optimal number and location of hubs and warehouses
• Developing warehouse layout strategies to improve productivity and throughput
• Modelling inventory placement across the network to reduce lead times and costs
• Comparing air, sea, and land transportation modes for cost-effectiveness and speed
• Projecting end-to-end supply chain costs under different demand and volume scenarios
• Optimising last-mile delivery strategies for both urban and rural regions
• Evaluating the role of automation and technology in future network design
• Conducting scenario analysis to understand the impact of disruptions, fuel price changes, or labour constraints

Job Description:

• Process Strategy & Optimisation: Evaluate and refine logistics processes to enhance efficiency, reduce costs, and strengthen operational scalability.
• Data Analysis & Insight Generation: Analyse diverse and dynamic datasets on operations and user behaviours, uncovering insights that tackle complex, real-world challenges. Use modelling and analysis to identify trends and generate insights that inform high-stakes business decisions.
• Strategic Support: Align strategic projects with broader business goals by supporting discussions with stakeholders and helping to define clear operational objectives.
• Planning & Execution: Help translate strategic goals into actionable plans with defined steps, contributing to their successful implementation.
• Performance Monitoring: Track the results of new initiatives, providing data and observations to help the team identify successes and areas for further refinement.

Requirements:

• Currently pursuing or has completed a Bachelor's Degree in any discipline from a reputable university with strong academic credentials. Candidates who are currently pursuing their Bachelor's Degree should be expected to graduate by end-Jul 2027, and all candidates must be able to join us by end-Aug 2027.
• Candidates who meet the above requirements and are currently pursuing a Master's Degree or above must be able to join us on a full-time basis by end-Aug 2027. A Master's Degree or above is advantageous but not required.
• Proficiency in SQL and Python, with the ability to translate data into actionable insights.
• Prior experiences in operations analytics, data analytics, or data-driven roles, internship or full-time.
• Strong analytical and structured thinking skills, with a knack for turning complex problems into practical solutions.
• Ability to explain technical findings clearly to both technical and business stakeholders.
• Collaborative, adaptable, and excited to work in a high-growth environment.