Operations Analyst

Stallion Infrastructure Services•Dallas, TX

About The Position

Stallion Infrastructure Services is seeking an Operations Analyst in the DFW area to lead data analysis and process improvement for Asset Management. The role focuses on making modular office trailer reconfiguration and makeover operations more efficient and technology-enabled. It bridges manufacturing operations, engineering, finance, and technology by using analytics, automation, and artificial intelligence to improve operational performance. The successful candidate will work both on the production floor and with operational data, and present insights to the General Manager to support data-driven decisions. The position is expected to actively use AI and emerging digital technologies to improve manufacturing performance, including automating recurring reports, creating AI-assisted documentation and dashboards, forecasting labor and production requirements, analyzing data, supporting predictive maintenance, building searchable knowledge libraries, and generating operational insights. The analyst will continuously evaluate new technologies and recommend practical applications that improve efficiency, quality, and profitability. Success will be measured through contributions to productivity, throughput, on-time delivery, manufacturing costs, rework, trailer turnaround time, data accuracy, AI-enabled improvements, process standardization, continuous improvement projects, and executive reporting quality.

Requirements

Bachelor's degree in Industrial Engineering, Manufacturing Engineering, Operations Management, Supply Chain Management, Business Analytics, Data Analytics, or a related field.
Strong analytical and problem-solving abilities.
Excellent Microsoft Excel skills, including Pivot Tables, Power Query, advanced formulas, and data analysis.
Working knowledge of Oracle and/or SAP; Oracle is the system in use.
Experience with Microsoft Power BI or Tableau.
Ability to analyze production workflows and recommend improvements.
Strong written and verbal communication skills.
Ability to manage multiple projects simultaneously.
Comfort working in both office and manufacturing environments.

Nice To Haves

Three or more years of manufacturing, industrial engineering, operations analysis, or continuous improvement experience; listed as preferred.
Experience using AI platforms such as Claude, Microsoft Copilot, Perplexity, or similar tools to improve operational efficiency.
Understanding of Lean Manufacturing principles.
Knowledge of Six Sigma methodologies.
Experience performing cost analysis.
Understanding of modular construction, production/master scheduling, capacity planning, material flow, inventory management, quality systems, asset lifecycle management, manufacturing KPIs, labor standards, standard work, root cause analysis, Value Stream Mapping, and Continuous Improvement methodologies.

Responsibilities

Analyze manufacturing operations to identify opportunities to increase productivity, reduce waste, and improve quality.
Develop and maintain manufacturing KPIs, dashboards, and performance metrics.
Use AI tools to automate reporting, streamline workflows, improve documentation, and generate operational insights.
Perform labor, material, and production cost analysis.
Support production scheduling and capacity planning.
Analyze manufacturing bottlenecks and recommend corrective actions.
Develop standardized work instructions and best practices.
Lead or support Lean Manufacturing and Continuous Improvement initiatives.
Assist with facility layout optimization and manufacturing flow improvements.
Analyze modular office trailer reconfiguration and makeover processes and recommend efficiency improvements.
Evaluate production performance against established goals and identify root causes of performance gaps.
Support inventory optimization and material flow initiatives.
Prepare executive-level reports and presentations using data visualization tools.
Ensure manufacturing data integrity and reporting accuracy.
Research emerging manufacturing technologies and AI applications that improve operational performance.
Support implementation of digital manufacturing initiatives.
Participate in cross-functional projects focused on operational excellence.
Maintain documentation for manufacturing standards and processes.
Perform other duties as assigned.