Deskripsi Pekerjaan
About the Team: The Operation teams at Shopee cover the operational end-to-end process, from when the buyer searches for a product listed on the platform, to the moment the parcel is delivered to their doorstep. The Middle Mile team specifically manages the sorting and transportation of parcels between hubs.
About the Role: We are looking for a dedicated Allocation Data Analyst to join our Middle Mile Operations team for SPX Express, based in Singapore. This role will be instrumental in optimizing the allocation and routing strategies for our key operational hub in Calamba, Laguna.
You will play a critical role in analyzing complex datasets to identify inefficiencies, forecast allocation needs, and design data-driven solutions that improve load factors, reduce transit times, and lower operational costs. Your insights will directly empower ground teams to execute seamless operations.
This is an exciting opportunity for a data-savvy professional who is passionate about solving real-world logistics challenges in a dynamic, high-growth environment.
Tanggung Jawab
- Analyze large-scale operational datasets to identify trends, anomalies, and optimization opportunities in parcel allocation and middle mile routing.
- Develop and maintain allocation models and forecasting tools to optimize capacity planning and load factors across sorting hubs.
- Create and manage real-time dashboards and reports to track KPIs such as on-time performance, slot utilization, and cost per parcel.
- Collaborate with sorting center operations and transportation teams to resolve daily allocation exceptions and ensure smooth workflow.
- Conduct deep-dive analyses to support strategic initiatives, including network expansion and process improvement projects.
- Work with cross-functional teams (Product, Engineering, Fulfillment) to enhance allocation tools and systems for better efficiency.
- Present data-driven insights and recommendations to management and operational stakeholders.
Kualifikasi
- Bachelor's degree in Data Science, Industrial Engineering, Supply Chain Management, or a related quantitative field.
- 1-3 years of experience in data analysis, preferably within logistics, supply chain, or e-commerce operations.
- Strong proficiency in SQL; experience with Python or R is highly advantageous.
- Hands-on experience with data visualization tools such as Tableau, Power BI, or Looker.
- Demonstrated ability to translate complex data findings into clear, actionable business recommendations.
- Excellent problem-solving skills and a data-driven decision-making mindset.
- Strong communication and stakeholder management skills.
- Knowledge of middle mile logistics and allocation strategies is a strong plus.