Operations Research Data Analyst - Regional Logistics

Job Description

As an Operations Research Data Analyst at Shopee, you will play a key role in improving the efficiency of our logistics and supply chain operations. You will be responsible for developing and implementing data-driven solutions that enhance processes, reduce costs, and improve customer experience. Using analytical methods and tools, you will work on optimising various aspects of our logistics network, such as transportation routes, warehouse operations, and inventory management. This role offers a unique opportunity to work on impactful projects across Southeast Asia, collaborating with cross-functional teams to deliver scalable and efficient logistics solutions. Your contributions will directly influence strategic decisions and drive operational improvements.

Key Responsibilities:

1. Data Analysis and Simulation: Analyse large datasets to uncover trends and insights that can drive innovative improvements in logistics and supply chain processes. Use simulation models to evaluate the potential impact of different operations models and strategies.
2. Transportation Optimisation: Focus on optimising logistics processes to deliver parcels to our users faster and at lower costs. This includes projects such as route optimisation, linehaul planning, automation, and the placement of hubs to enhance the efficiency of our delivery network.
3. Fulfilment Operations Optimisation: Develop strategies to optimise warehouse operations, including warehouse layout optimisation, automation, inventory management, improving packaging efficiency, and enhancing overall fulfilment processes.
4. Project Management: Conduct trials and build prototypes of solutions to evaluate effectiveness on the grounds. Design implementation steps to ensure theoretical improvements are realised.
5. Collaboration and Communication: Work closely with cross-functional teams, including logistics, product development, marketing, and finance, to understand business needs and provide data-driven solutions. Communicate findings and recommendations clearly to stakeholders.
6. Continuous Improvement and Innovation: Stay updated on the latest trends and advancements in operations research and logistics management. Propose innovative solutions to continuously improve Shopee’s operational efficiency.

Requirements:

1. Education: Bachelor’s or Master’s degree in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Computer Science, or a related field.
2. Programming Skills: Proficiency in programming languages, with extensive use of Python for modelling and data analytics.
3. Experience: At least 2 years of experience in operations research, data analytics, or a similar analytical role, preferably in e-Commerce, logistics, or supply chain management. Applicants with 0-1 years of experience but with strong data analytics and Python skills are welcome to apply.
4. Problem-Solving: Strong problem-solving skills with a solid analytical mindset. Able to identify opportunities for value creation and support decision-making with logic and data.
5. Agility and Pragmatism: Capable of building prototypes and iterating solutions quickly, while incorporating real-life constraints into the models.
6. Communication Skills: Ability to effectively communicate complex findings to both technical and non-technical stakeholders.
7. Team Collaboration: Thrives in a team-based, energetic environment, demonstrating strong collaboration skills.