Senior Manufacturing Operations & Digitalization Analyst

Yanfeng • Novi, MI

2d

About The Position

The Senior Analyst, Business Intelligence bridges manufacturing operations, business processes, and digital technologies, with responsibility for logistics automation in relation to digital solutions. The role analyzes operational and supply chain data to identify trends, inefficiencies, and opportunities for continuous improvement, turning data into meaningful intelligence that supports strategic and operational objectives.

Working with manufacturing, logistics, supply chain, IT, and business stakeholders, the analyst supports manufacturing processes and production teams through data analysis, KPI monitoring, process optimization, and corrective-action recommendations. The position supports and enhances Manufacturing Execution Systems (MES), logistics-system digitalization, and integration across MES, ERP, quality, supply chain, and reporting systems. It also supports users in analyzing production data and defining requirements for reports and visualizations using Power BI or similar tools.

The role supports inventory, production-planning, and logistics-performance analysis, and provides support to manufacturing facilities throughout the USA and Mexico. European travel may occasionally occur. Travel to plants is required for system implementations, workshops, training, and operational assessments, as well as participation in cross-functional and international project teams.

Requirements

• Bachelor's degree in Industrial Engineering, Manufacturing Engineering, Information Systems, Operations Management, Supply Chain Management, Computer Science, or a related field.
• At least 3 years of experience in a manufacturing environment.
• Experience with manufacturing operations, production control, or operational excellence initiatives.
• Understanding of manufacturing processes and production environments.
• Knowledge of logistics and supply chain processes.
• Knowledge of production KPIs, OEE, downtime analysis, scrap reduction, and productivity metrics.
• Strong analytical and problem-solving capabilities.
• Ability to interpret large data sets and identify actionable insights.
• Excellent communication and presentation skills.
• Ability to communicate effectively with technical and non-technical stakeholders.
• Ability to manage multiple initiatives simultaneously.
• Experience working in cross-functional and international teams.
• Strong internal customer focus and ability to build trust and working relationships with plant teams.
• Self-motivated, proactive, and comfortable working independently in a dynamic manufacturing environment.

Nice To Haves

• Experience within the Automotive Supplier Industry.
• Exposure to Manufacturing Execution Systems (MES).
• Experience with Power BI, Power Apps, or Power Automate.
• Logistics automation and MES experience.
• Exposure to Industry 4.0 and Smart Factory concepts.
• Understanding of data integration concepts and APIs.
• Experience with SQL databases and data modeling.
• Experience supporting multi-site manufacturing operations.
• Familiarity with automotive standards and processes.

Responsibilities

• Analyze manufacturing processes and identify opportunities for performance improvement.
• Support production teams through data analysis, KPI monitoring, and process optimization initiatives.
• Collaborate with plant management, production supervisors, quality, logistics, and engineering teams.
• Monitor operational performance indicators and recommend corrective actions.
• Support implementation and continuous improvement of production control processes.
• Support and enhance Manufacturing Execution Systems (MES).
• Support digitalization of logistics systems, including AGVs, vertical warehouses, material flow, and stock.
• Act as a liaison between Operations and IT developers.
• Support integration between MES, ERP, quality, supply chain, and reporting systems.
• Support end users in analyzing production data.
• Define requirements for reports and visualizations using Power BI or similar business intelligence tools.
• Transform operational data into actionable insights for management.
• Develop an understanding of material flow and supply chain processes.
• Support analysis of inventory, production planning, and logistics performance metrics.
• Collaborate with logistics and planning teams to improve operational efficiency.
• Provide support to manufacturing facilities throughout the USA and Mexico, with occasional European travel possible.
• Travel to plant locations for system implementations, workshops, training, and operational assessments.
• Support cross-functional and international project teams.

Benefits

• Employee development opportunities, including development programs, continuous learning, mentorship, and volunteerism.
• Comprehensive onboarding process.
• Personal and professional growth opportunities.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior