Analyst, Equipment Control

Ocean Network Express•Chicago, IL

9d•Hybrid

About The Position

The Analyst, Equipment Control is a member of the Equipment Control (EQC) team supporting Ocean Network Express’s strategic growth. The analyst applies knowledge of daily EQC operations to manage assigned areas, identify automation opportunities, and develop tools and streamlined processes that improve team efficiency. The position supports the design, implementation, and maintenance of operational tools, reports, and workflows for regional teams and the broader EQC organization. It manages Looker reporting, liaises with the Data COE and ICT, and helps EQC adopt AI solutions, prompt engineering standards, and automation tools to streamline operations and improve cost efficiency. The analyst also works with fellow analysts to review digital solutions across teams and develop enterprise-level tools for North America EQC. The role manages fleet and operational data, builds self-service BI dashboards, monitors KPIs and operational metrics, and maintains inventory spreadsheets and reporting structures. It also develops AI-enabled workflows, translates business needs into technical reporting requirements, and trains and supports users adopting dashboards, Google Workspace integrations, and AI productivity tools. The position is based in Naperville, Illinois, and follows a hybrid schedule requiring at least three days in the office each week. Ocean Network Express describes opportunities for professional growth and internal advancement. Salary is commensurate with experience.

Requirements

At least 1 year of relevant functional and industry experience.
Strong understanding of EQC operational systems, including high proficiency in OPUS and Looker.
Ability to analyze operational data, troubleshoot process bottlenecks, and perform root-cause problem solving.
Ability to solve complex logistics problems, including cost-savings optimization, aging reduction, and cost variance analysis.
Understanding of metadata management, data accuracy standards, and spreadsheet modeling.
Advanced Google Sheets and Microsoft Excel formulas and pivot tables.
Ability to translate operational pain points into technical documentation and digital solutions.
Operational fluency with Gemini AI tools, custom Gems, and NotebookLM.
Practical mastery of prompt engineering principles.
Familiarity with workflow automation and registering internal AI tools under company governance guidelines.
Ability to present data-driven recommendations and strategic reports to stakeholders.
Self-starter with strong multitasking, prioritization, and organizational skills.
Ability and interest in teaching and guiding peers in adopting digital workflows and analytical tools.

Nice To Haves

Bachelor’s degree preferred.

Responsibilities

Manage the fleet to support export demand and empty loadback operations.
Use data modeling and visualization to structure operational datasets into self-service BI dashboards using Looker, LookML, and the ONE Data Model for regional and global KPIs.
Evaluate operational metrics to identify trend anomalies, cost-reduction opportunities, equipment balance issues, and operational inefficiencies.
Oversee inventory spreadsheets and report structures to maintain data integrity.
Promote department-wide adoption of AI tools and automation.
Develop structured AI notebooks and automated inquiry solutions to process unstructured operational documents and aggregate large datasets for strategic operational planning.
Translate EQC business needs into technical reporting requirements using structured requirements-gathering methods.
Train, upskill, and support end users across the organization on Looker dashboards, Google Workspace integrations, and AI productivity tools.
Collaborate with other analysts to review digital solutions across teams and develop enterprise-level tools for North America EQC.
Apply root-cause problem solving to operational data and process bottlenecks.