Data Anayst

Key Responsibilities

Cost Analytics & Cost-to-Serve Support

• Support the development and maintenance of the Logistics Cost Taxonomy framework, establishing standardized cost classifications across warehouses, transportation, brokerage, and related logistics services.
• Analyze spend, invoice, and operational data to identify cost drivers, trends, and opportunities for optimization.
• Validate and map logistics spend data to support accurate cost allocation and benchmarking activities.
• Contribute to the development of Cost-to-Serve models by providing data analysis, business requirements, and operational insights.
• Support enterprise system development efforts by collaborating with Cost-to-Serve team to define data structures, reporting requirements, and analytical use cases.
• Assist in translating business requirements into scalable analytics solutions that enhance cost transparency and decision-making across the logistics network.

Data Analytics & Visualization

• Develop, maintain, and enhance Tableau dashboards that support operational performance, cost management, and customer service metrics.
• Build interactive visualizations that enable stakeholders to monitor KPI performance and identify improvement opportunities.
• Perform data analysis to uncover trends, anomalies, and business insights across logistics operations.
• Automate reporting processes to improve data accessibility and reduce manual effort.

Business Intelligence & Digital Transformation

• Collaborate with business teams to gather requirements and support the deployment and adoption of various analytics platforms, including Celonis and Tableau.
• Participate in process mining and operational analytics initiatives to identify process inefficiencies and improvement opportunities.
• Assist in the migration, optimization, and standardization of existing reporting solutions.

Cross-Functional Collaboration

• Partner with logistics operations teams, across Asia, Europe, and North America to deliver business solutions.
• Present analytical findings and recommendations to stakeholders in a clear and concise manner.
• Support global projects focused on transportation, warehouse operations, brokerage, and network optimization.

Minimum Qualifications

• Bachelor's degree in Data Science, Computer Science, Industrial Engineering, Supply Chain, Statistics, Mathematics, Analytics, Information Systems, or a related field.
• Recent graduate or graduating within the current academic year.
• Strong analytical and problem-solving skills.
• Proficiency in Microsoft Excel and data visualization concepts.
• Ability to communicate technical concepts to non-technical audiences.

Preferred Qualifications

• Experience with Tableau, Power BI, or similar BI tools through coursework, internships, or projects.
• Familiarity with Python, R, SQL, or other data analytics programming languages.
• Exposure to supply chain, logistics, manufacturing, or operations analytics.
• Understanding of data modeling, dashboard development, and business intelligence concepts.
• Knowledge of process mining platforms such as Celonis is a plus.
• Experience with SAP or enterprise systems is advantageous.

Interested candidates please send your CV to [Confidential Information]