Assistant Manager - Performance Management

Glovis • Irvine, CA

2d • $86,000 - $96,000 • Onsite

About The Position

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.

Requirements

• Understands transportation networks, port or terminal operations, carrier management, routing structures, and operational throughput concepts Required
• Able to interpret logistics workflows and translate operational activity into measurable performance indicators Required
• Applies analytical methods to evaluate operational efficiency using metrics such as throughput, cycle time, utilization, dwell time, and delivery lead times to identify process improvement opportunities Required
• Understands cost structures within logistics operations including carrier rates, fuel surcharges, handling costs, and operational overhead Required
• Able to evaluate unit economics, cost per vehicle metrics, and margin drivers across operational workflows Required
• Understands how operational, financial, and logistics data flow across enterprise systems. Able to integrate multi-source datasets and identify data quality or system alignment issues Required
• Communicates analytical findings effectively with operations teams, finance stakeholders, and technical staff, translating complex analysis into actionable operational insights Required
• Applies financial modeling techniques to evaluate operational profitability, cost drivers, and contribution margins across logistics activities Required
• Understands budgeting concepts, variance analysis, and unit-level economics to support operational and financial decision-making Required
• Applies statistical inference, hypothesis testing, and probability-based analysis to evaluate operational outcomes, validate performance trends, and support evidence-based decision-making under uncertainty Required
• Bachelor's Degree Required
• 6 - 9 Years of experience in Applied Mathematics, Computer Science, Data Science, and/or Statistics Required
• 1 - 3 years of supervisory experience Required

Nice To Haves

• Applies statistical techniques such as regression, forecasting, and classification to analyze operational performance, identify patterns, and support predictive decision-making Preferred
• Approaches operational problems holistically, recognizing relationships between logistics processes, financial outcomes, and data systems Preferred
• Continuously seeks opportunities to improve operational efficiency through analytics, automation, and better data infrastructure Preferred
• Master's Degree Preferred
• 7 - 11 Years of experience in Applied Mathematics, Computer Science, Data Science, and/or Statistics Preferred

Responsibilities

• 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 executive and leadership reporting related to logistics performance, operational efficiency, and financial outcomes
• Assist with development of operational benchmarking metrics across ports, routes, and logistics networks
• Participate in cross-functional initiatives related to cost optimization, operational improvements, and business performance reviews
• Provide analytical support for operational planning, budgeting, and performance forecasting initiatives
• Assist with evaluation and implementation of new analytics tools, automation technologies, or operational data platforms
• Collaborate with IT and data teams to improve integration between operational systems and analytics environments
• Contribute to continuous improvement initiatives aimed at improving operational productivity and financial performance
• Support documentation of analytical methodologies, operational metrics definitions, and system data flows
• Conduct industry benchmarking and research related to logistics operations and supply chain performance metrics
• Assist with development of logistics performance scorecards used by operational leadership to evaluate facility, route, and carrier performance
• Support operational planning initiatives by preparing scenario models and analytical simulations that evaluate potential business decisions
• Participate in cross-functional initiatives aimed at improving data accessibility and reporting standardization across departments
• Assist with development of data quality monitoring procedures to improve reliability of operational and financial reporting
• Provide analytical input to support budget planning, operational forecasts, and financial performance reviews
• Contribute to development of internal analytics standards, documentation, and best practices to improve consistency across analytical projects
• Other duties as assigned

Benefits

• Medical Insurance
• Vision Insurance
• Dental Insurance
• Health Care & Dependent Care Flexible Spending Accounts (FSA)
• Basic Life and AD&D as well as Short-Term & Long-Term DisabilityPaid Vacation, Holidays, and Sick leave
• Hospital and Critical Illness Insurance
• Wellness Program and Gym Reimbursement
• 401(k) with Generous Matching
• Referral Bonuses
• Auto Allowance
• Quarterly Employee Lunches, Summer Refreshments, and Monthly Team Building Activities
• Discretionary Bonuses
• Tuition Reimbursement

What This Job Offers

• Job Type: Full-time
• Career Level: Manager