Assistant Manager Data and Performance Analytics

Assistant Manager - Performance Management Glovis America - 18191 Von Karman Ave, 18191 Von Karman Ave, Irvine, California, United States of America Job Description Posted Friday, March 6, 2026 at 11:00 AM | Expires Thursday, October 1, 2026 at 9:59 AM 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. Summary 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. 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 Compensation Range $86,000 – $96,000 Per Year (Subject to Compensation Study Upon Candidate Selection) Benefits of working at GLOVIS America Inc. Medical Insurance Vision Insurance Health Care & Dependent Care Flexible Spending Accounts (FSA) Basic Life and AD&D as well as Short-Term & Long-Term Disability Paid Vacation, Holidays, and Sick leave Hospital and Critical Illness Insurance Wellness Program and Gym Reimbursement 401(k) with Generous Matching Quarterly Employee Lunches, Summer Refreshments, and Monthly Team Building Activities Discretionary Bonuses Tuition Reimbursement *Benefits may vary by location. All benefits pursuant to Company policy Skills 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 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 Education & Experience Bachelor's Degree Required Master's Degree Preferred 6 - 9 Years of experience in Applied Mathematics, Computer Science, Data Science, and/or Statistics Required 1 - 3 years of supervisory experience Required 7 - 11 Years of experience in Applied Mathematics, Computer Science, Data Science, and/or Statistics Preferred Glovis America, Inc. adheres to the equal employment opportunity guidelines set forth by federal, state, and local laws. The information requested on this form is sought in good faith and will not be used to discriminate against the applicant based on race, religion or creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic characteristics, marital status, sex or gender (which includes pregnancy, childbirth, or related circumstances), gender identity, gender expression, age, citizenship, sexual orientation, family care or medical leave status, military and veteran status, political affiliation, or any other characteristic protected by federal, state and local laws. Physical Requirements Ability to sit in front of a desk and/or in front of the computer for long periods Possibility of domestic travel - 10% Repetitive use of hand/grasping product, writing, and typing Stand/walk Carry/lift up to 15 pounds Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this job. Working and Environmental Conditions The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Typical office environment with low-level noise exposure This position will be located in the Irvine, CA office Communication with employees and field partners will be primarily conducted via phone and email The above statements are intended to describe the general nature of work performed by employees assigned to this position. They are not intended to be a complete list of all job duties performed by persons in the position. Glovis America reserves the right to revise or amend duties at any time as the needs of the company and requirements of the job change. Glovis America - 18191 Von Karman Ave, 18191 Von Karman Ave, Irvine, California, United States of America #J-18808-Ljbffr Glovisusa