Job Description
Conduct deep-dive analyses of performance and cost metrics across all logistics functions including first mile, line haul, and last mile.
Identify operational inefficiencies and improvement opportunities by recognizing patterns, anomalies, and trends in large datasets.
Develop clear business cases, including cost-benefit analyses, to support investment decisions and key operational initiatives.
Design and maintain insightful dashboards and automated reports to track critical KPIs and measure the impact of optimization efforts.
Collaborate closely with cross-functional teams — particularly Finance and Operations — to lead cost rationalization projects from initiation to execution.
Support strategic planning by providing data-backed insights and recommendations for continuous process improvement.
Monitor post-implementation results to ensure the sustainability of optimization initiatives.
Position Requirement
Bachelor's degree in Engineering, Business, Economics, Data Science, or a related field; Master’s degree is a plus.
5+ years of experience in logistics, supply chain, operations, or strategy roles with a focus on performance and cost optimization.
Strong analytical skills with proficiency in Excel, SQL, Power BI/Tableau, and data visualization tools.
Proven track record of using data to identify inefficiencies and drive measurable improvements.
Solid understanding of logistics operations and cost structures across first mile, line haul, and last mile.
Excellent communication and stakeholder management skills, especially in cross-functional environments.
Experience in e-commerce, express logistics, or tech-driven logistics ecosystems.
Financial modeling skills and experience working closely with finance teams.
A problem-solver mindset with high ownership and the ability to manage multiple priorities in a fast-paced environment.