Assistant Manager - Management

About GLOVIS America Inc.

GLOVIS America, Inc. is a third-party logistics provider headquartered in Irvine, CA. Since our inception in 2002, we are committed to delivering our customers' products via truck, rail, or ocean vessel throughout the U.S., Canada, and Mexico. Glovis America makes every effort to exceed standards by providing quality service to our customers and vendors of the automotive, freight forwarding, parts distribution, used car, and fuel industries.

We cater logistics strategies and processes to our customers' needs by utilizing the latest information systems and advanced technologies.

About GLOVIS America Inc.

GLOVIS America, Inc. is a third-party logistics provider headquartered in Irvine, CA. Since our inception in 2002, we are committed to delivering our customers' products via truck, rail, or ocean vessel throughout the U.S., Canada, and Mexico. Glovis America makes every effort to exceed standards by providing quality service to our customers and vendors of the automotive, freight forwarding, parts distribution, used car, and fuel industries.

We cater logistics strategies and processes to our customers' needs by utilizing the latest information systems and advanced technologies.

Performance Management is seeking a technically strong and analytically driven professional to support operational and financial intelligence across vehicle logistics, port operations, and affiliated transportation networks. This role focuses on analyzing operational performance, improving data infrastructure, and developing analytical models that support cost optimization, throughput efficiency, and financial visibility. The Assistant Manager will work at the intersection of logistics operations, data analytics, and financial performance management.

Responsibilities include developing operational analytics datasets, automating data workflows, performing cost and profitability analysis, and supporting predictive models related to capacity, delivery performance, and operational efficiency. Success in this role requires a strong understanding of logistics processes, financial performance metrics, and data-driven decision making within complex operational environments.

• Analyze operational and financial performance across logistics networks, including vehicle throughput, route efficiency, port processing capacity, and cost per unit metrics
• Develop and maintain analytical datasets that support operational performance monitoring, financial analysis, and forecasting
• Perform cost analysis and profitability assessments across routes, carriers, ports, and logistics operations
• Identify operational inefficiencies through trend analysis, variance analysis, and root cause investigations using operational and financial datasets
• Design and implement predictive models that support forecasting of operational metrics such as delivery lead times, capacity constraints, and cost trends
• Develop automated workflows and scripts that streamline operational reporting and reduce manual data processing
• Build analytical frameworks that support decision-making related to logistics network optimization, resource allocation, and operational planning
• Integrate operational data from enterprise systems, transportation platforms, and financial systems to support cross-functional analysis
• Partner with operations, finance, and business leadership to translate analytical findings into actionable operational improvements
• Support development of operational performance metrics and KPI frameworks used to evaluate logistics efficiency and financial performance
• Conduct scenario modeling and sensitivity analysis to evaluate potential operational or cost impacts of business decisions.
• Ensure analytical outputs align with data governance standards and maintain documentation for data pipelines, analytical models, and operational metrics
• Develop analytical models to evaluate network efficiency, including route performance, carrier utilization, and vehicle transport capacity across logistics operations
• Build scenario analysis tools that support operational planning decisions, including carrier selection, routing strategies, and capacity allocation
• Design analytical frameworks to monitor cost drivers across logistics operations, including fuel surcharges, carrier rates, dwell times, and handling costs
• Partner with finance teams to analyze unit economics and contribution margins across operational workflows and logistics programs
• Develop monitoring processes that identify operational anomalies, data inconsistencies, or unexpected cost fluctuations within logistics datasets
• Support development of operational forecasting models used for capacity planning, workforce allocation, and demand projections
• Evaluate operational system outputs and data quality across enterprise platforms to ensure reliable and consistent analytics inputs
• Support implementation of continuous improvement initiatives by measuring operational performance before and after process changes
• Support…