Assistant Manager Data and Performance Analytics
Glovisusa, Irvine, CA, United States
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
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