Glovisusa
Glovis America - 18191 Von Karman Ave, 18191 Von Karman Ave, Irvine, California, United States of America
Job Description
Posted Wednesday, December 3, 2025 at 11:00 AM | Expires Thursday, June 4, 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 data‑driven, detail‑oriented analyst to support operational intelligence across vehicle logistics, port operations, and affiliated networks. The ideal candidate will build interactive dashboards, analyse complex datasets, and write SQL queries to uncover trends, inefficiencies, and process improvement opportunities. Proficiency in Python and a solid grasp of machine learning fundamentals, particularly regression analysis and basic predictive modelling, are essential. Key responsibilities include automating reports, enhancing self‑service BI tools, and contributing to performance reviews that inform strategic decisions. Success in this role requires strong collaboration with cross‑functional teams to ensure insights are aligned with operational objectives. Candidates should hold a quantitative degree and have up to two years of relevant experience, including academic or internship work in analytics or logistics. A collaborative mindset and openness to feedback are equally important, especially when planning and designing data‑driven solutions. Responsibilities
Design, develop, and maintain interactive dashboards using Power BI (or equivalent tools) to monitor KPIs related to vehicle throughput, port operations, and logistics performance Write, optimise, and manage SQL queries to extract, clean, and structure data from multiple systems for analysis and reporting purposes Perform comparative and trend analyses across time periods, ports, affiliates, and other operational variables to identify performance gaps, anomalies, or areas of opportunity Leverage Jupyter Notebooks to perform exploratory data analysis (EDA), visualise data relationships, prototype models, and communicate code‑driven insights clearly Conduct root cause analyses on operational inefficiencies, including delays, congestion, and cycle‑time deviations in vehicle movement and port handling workflows Build and refine basic predictive models (e.g., regression, classification) using Python to support operational forecasting and risk identification Automate recurring reporting tasks and develop self‑service BI tools to improve accessibility and reduce manual effort across departments Collaborate with cross‑functional stakeholders to define meaningful performance metrics and ensure that reporting aligns with strategic and operational goals Translate data findings into clear narratives and recommendations for both technical and non‑technical audiences through presentations and visualisations Document reporting logic, data definitions, model assumptions, and analysis workflows to ensure consistency, reproducibility, and knowledge sharing Apply data visualisation best practices to maximise the clarity, usability, and impact of analytics deliverables Utilise version control (e.g., Git) within notebooks or analytics projects to maintain code integrity and support collaboration Proactively identify and recommend data quality improvements, tool enhancements, or metric refinements that could strengthen analytical outputs Demonstrate flexibility and a proactive attitude toward taking on additional responsibilities that align with the scope and objectives of the role Participate in cross‑functional planning discussions, contributing analytical insights during the development of new initiatives or process improvements Prepare data‑driven materials and summaries in support of performance reviews and executive‑level decision‑making Help standardise workflows and reporting processes by supporting documentation and implementation of operational best practices Contribute to data governance efforts by upholding quality standards, ensuring consistency, and promoting ethical data practices Support change management and adoption efforts, helping operational teams integrate and adapt to analytics‑based solutions Conduct industry research and applied benchmarking to inform long‑term planning and enhance operational strategies Participate in testing and feedback cycles during the rollout of new dashboards, platforms, or performance management systems Assist with the design and execution of analytics‑driven projects that enhance visibility, efficiency, and performance across vehicle logistics and port operations Collaborate with Hyundai Glovis teams and project leads to ensure data needs are met during system upgrades, new platform integrations, or process redesigns Maintain a commitment to continuous learning, actively exploring and evaluating emerging technologies, tools, and methodologies that can be applied to improve analytical capabilities and project outcomes Compensation Range
$58,000 – $63,000 per year (Specific Compensation upon Candidate Selection) Benefits of Working at Hyundai 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 Pet Insurance 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 & Qualifications
Self‑Directed Research & Exploration – Demonstrating curiosity and initiative by staying informed on evolving methodologies and tools required Adaptability with Tools – Quick to learn new platforms and integrate emerging technologies into analytical workflows required Business Context Awareness – Understanding how port operations, vehicle logistics, and throughput metrics translate into broader strategic goals required Data‑to‑Insight Communication – Synthesising complex data into clear, decision‑oriented narratives tailored for both technical and non‑technical stakeholders preferred Python – Applied in data preprocessing, modelling, and automation pipelines using clean, modular code required SQL – Proficient in query writing, optimisation, and data wrangling for large, structured datasets across enterprise systems required Power BI / Tableau – End‑to‑end dashboard development with KPIs, DAX calculations, and interactive filters for executive visibility preferred Jupyter Notebooks – Interactive development and presentation of data narratives with embedded code and output preferred Data Pipeline Awareness – Understands the flow of data from ingestion to reporting; capable of identifying inefficiencies or integrity issues within multi‑source environments preferred Education & Experience
Bachelor's Degree Required Master's Degree Preferred 3 – 5 Years of Direct Experience in Business Analytics and/or Quantitative Economics Required 4 – 7 Years of Direct Experience in Preferred Experience in Applied Mathematics, Computer Science, Data Science, and/or Statistics Preferred Physical Requirements
Ability to sit in front of a desk and/or in front of the computer for long periods Repetitive use of hand/grasping product, writing, and typing Lift up to 20lbs Carry up to 20lbs Stand/walk 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 is located in our
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. Job Family Office Job Function Senior Analyst Pay Type Hourly Education Level Bachelor’s Degree Travel Required Yes Travel Percentage 10 Hiring Min Rate 58,000 USD Hiring Max Rate 63,000 USD Glovis America - 18191 Von Karman Ave, 18191 Von Karman Ave, Irvine, California, United States of America
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Posted Wednesday, December 3, 2025 at 11:00 AM | Expires Thursday, June 4, 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 data‑driven, detail‑oriented analyst to support operational intelligence across vehicle logistics, port operations, and affiliated networks. The ideal candidate will build interactive dashboards, analyse complex datasets, and write SQL queries to uncover trends, inefficiencies, and process improvement opportunities. Proficiency in Python and a solid grasp of machine learning fundamentals, particularly regression analysis and basic predictive modelling, are essential. Key responsibilities include automating reports, enhancing self‑service BI tools, and contributing to performance reviews that inform strategic decisions. Success in this role requires strong collaboration with cross‑functional teams to ensure insights are aligned with operational objectives. Candidates should hold a quantitative degree and have up to two years of relevant experience, including academic or internship work in analytics or logistics. A collaborative mindset and openness to feedback are equally important, especially when planning and designing data‑driven solutions. Responsibilities
Design, develop, and maintain interactive dashboards using Power BI (or equivalent tools) to monitor KPIs related to vehicle throughput, port operations, and logistics performance Write, optimise, and manage SQL queries to extract, clean, and structure data from multiple systems for analysis and reporting purposes Perform comparative and trend analyses across time periods, ports, affiliates, and other operational variables to identify performance gaps, anomalies, or areas of opportunity Leverage Jupyter Notebooks to perform exploratory data analysis (EDA), visualise data relationships, prototype models, and communicate code‑driven insights clearly Conduct root cause analyses on operational inefficiencies, including delays, congestion, and cycle‑time deviations in vehicle movement and port handling workflows Build and refine basic predictive models (e.g., regression, classification) using Python to support operational forecasting and risk identification Automate recurring reporting tasks and develop self‑service BI tools to improve accessibility and reduce manual effort across departments Collaborate with cross‑functional stakeholders to define meaningful performance metrics and ensure that reporting aligns with strategic and operational goals Translate data findings into clear narratives and recommendations for both technical and non‑technical audiences through presentations and visualisations Document reporting logic, data definitions, model assumptions, and analysis workflows to ensure consistency, reproducibility, and knowledge sharing Apply data visualisation best practices to maximise the clarity, usability, and impact of analytics deliverables Utilise version control (e.g., Git) within notebooks or analytics projects to maintain code integrity and support collaboration Proactively identify and recommend data quality improvements, tool enhancements, or metric refinements that could strengthen analytical outputs Demonstrate flexibility and a proactive attitude toward taking on additional responsibilities that align with the scope and objectives of the role Participate in cross‑functional planning discussions, contributing analytical insights during the development of new initiatives or process improvements Prepare data‑driven materials and summaries in support of performance reviews and executive‑level decision‑making Help standardise workflows and reporting processes by supporting documentation and implementation of operational best practices Contribute to data governance efforts by upholding quality standards, ensuring consistency, and promoting ethical data practices Support change management and adoption efforts, helping operational teams integrate and adapt to analytics‑based solutions Conduct industry research and applied benchmarking to inform long‑term planning and enhance operational strategies Participate in testing and feedback cycles during the rollout of new dashboards, platforms, or performance management systems Assist with the design and execution of analytics‑driven projects that enhance visibility, efficiency, and performance across vehicle logistics and port operations Collaborate with Hyundai Glovis teams and project leads to ensure data needs are met during system upgrades, new platform integrations, or process redesigns Maintain a commitment to continuous learning, actively exploring and evaluating emerging technologies, tools, and methodologies that can be applied to improve analytical capabilities and project outcomes Compensation Range
$58,000 – $63,000 per year (Specific Compensation upon Candidate Selection) Benefits of Working at Hyundai 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 Pet Insurance 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 & Qualifications
Self‑Directed Research & Exploration – Demonstrating curiosity and initiative by staying informed on evolving methodologies and tools required Adaptability with Tools – Quick to learn new platforms and integrate emerging technologies into analytical workflows required Business Context Awareness – Understanding how port operations, vehicle logistics, and throughput metrics translate into broader strategic goals required Data‑to‑Insight Communication – Synthesising complex data into clear, decision‑oriented narratives tailored for both technical and non‑technical stakeholders preferred Python – Applied in data preprocessing, modelling, and automation pipelines using clean, modular code required SQL – Proficient in query writing, optimisation, and data wrangling for large, structured datasets across enterprise systems required Power BI / Tableau – End‑to‑end dashboard development with KPIs, DAX calculations, and interactive filters for executive visibility preferred Jupyter Notebooks – Interactive development and presentation of data narratives with embedded code and output preferred Data Pipeline Awareness – Understands the flow of data from ingestion to reporting; capable of identifying inefficiencies or integrity issues within multi‑source environments preferred Education & Experience
Bachelor's Degree Required Master's Degree Preferred 3 – 5 Years of Direct Experience in Business Analytics and/or Quantitative Economics Required 4 – 7 Years of Direct Experience in Preferred Experience in Applied Mathematics, Computer Science, Data Science, and/or Statistics Preferred Physical Requirements
Ability to sit in front of a desk and/or in front of the computer for long periods Repetitive use of hand/grasping product, writing, and typing Lift up to 20lbs Carry up to 20lbs Stand/walk 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 is located in our
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. Job Family Office Job Function Senior Analyst Pay Type Hourly Education Level Bachelor’s Degree Travel Required Yes Travel Percentage 10 Hiring Min Rate 58,000 USD Hiring Max Rate 63,000 USD Glovis America - 18191 Von Karman Ave, 18191 Von Karman Ave, Irvine, California, United States of America
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