Manufacturing Analyst

Stallion Infrastructure Services•Decatur, TX

2h•Onsite

About The Position

Stallion Infrastructure Services is seeking an on-site Manufacturing Analyst in Decatur, Texas, to lead data and process improvement for Asset Management. The role supports the transformation of modular office trailer manufacturing, including reconfiguration and makeover programs, into a more efficient, technology-enabled operation. Reporting directly to the General Manager of Asset Management, the analyst bridges manufacturing operations, engineering, finance, and technology by using analytics, automation, and artificial intelligence to improve operational performance. The position requires comfort working both on the production floor and with data, and includes presenting findings to the General Manager to support data-driven decisions. The analyst will use manufacturing analytics and AI tools to improve productivity, quality, throughput, cost, reporting, forecasting, and operational workflows. The role supports Lean and continuous improvement initiatives, digital manufacturing implementation, and cross-functional operational excellence projects. Success is measured by improvements in manufacturing performance, trailer turnaround, data accuracy, process standardization, and the quality of executive reporting.

Requirements

Bachelor's degree in Industrial Engineering, Manufacturing Engineering, Operations Management, Supply Chain Management, Business Analytics, Data Analytics, or a related field.
Three or more years of manufacturing, industrial engineering, operations analysis, or continuous improvement experience is preferred.

Nice To Haves

Strong analytical and problem-solving abilities.
Advanced 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.
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.
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.
Preferred understanding of modular construction, production and 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.
Curiosity, analytical thinking, a process-oriented approach, self-motivation, organization, comfort with technology and AI, results orientation, cross-department collaboration, and an interest in continuous improvement.

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 analyses.
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 manufacturing technologies and AI applications that can 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.