Senior Manufacturing Operations & Digitalization Analyst

Yanfeng Global Automotive Interiors; Novi (MI); On-site; USD 90,000 - 120,000; Full time

Job summary

Yanfeng Global Automotive Interiors is seeking a Senior Analyst, Business Intelligence to bridge manufacturing operations, processes, and digital technologies. You will analyze production and logistics data to identify trends, inefficiencies, and optimization opportunities across the value chain.

You will support MES enhancements, ERP integration, and BI reporting to transform data into actionable insights for management.

Qualifications

• Bachelor’s degree in a related field is required.
• 3+ years of experience in a manufacturing environment.
• Automotive supplier experience is preferred.
• Experience with MES, production control, or operational excellence initiatives.
• Exposure to MES is strongly preferred.
• Understanding of manufacturing processes and production environments.
• Knowledge of logistics and supply chain processes.
• Knowledge of KPIs, OEE, downtime analysis, scrap reduction and productivity metrics.

Responsibilities

• Analyze manufacturing processes and identify opportunities for performance improvement.
• Support production teams through data analysis, KPI monitoring, and process optimization.
• Collaborate with plant management, production supervisors, quality, logistics and engineering.
• Monitor operational performance indicators and recommend corrective actions.
• Support implementation and continuous improvement of production control processes.
• Support MES enhancement and digitalization of logistic systems (e.g., AGV, material flow).
• Act as liaison between Operations and IT developers; support ERP integrations.
• Help end users analyze production data and create reports/visualizations via BI tools.
• Develop understanding of material flow and supply chain processes; analyze inventory and planning metrics.
• Travel to USA/Mexico facilities; participate in cross-functional and international projects.

Skills

Power BI

SQL

Data Modeling

Analytics

KPI Tracking

OOE Improvement

Cross-functional Collaboration

MES Understanding

ERP Integration

Process Improvement

Education

Bachelor's degree in Industrial Engineering, Manufacturing Engineering, Information Systems, Operations Management, Supply Chain Management, Computer Science, or related field

Tools

Power BI

Power Apps

Power Automate

SQL Databases

ERP Systems

MES

Job description

Job Summary

The Senior Analyst, Business Intelligence serves as the bridge between manufacturing operations, business processes, and digital technologies. This position is responsible for logistics automation in relation to digital solutions. This role analyzes operational and supply chain data to identify trends, inefficiencies, and opportunities for continuous improvement. Working closely with manufacturing, logistics, supply chain, IT, and business stakeholders, the role ensures that data is transformed into meaningful intelligence that supports strategic and operational objectives.

Essential functions of the job

Manufacturing & Operations Support

• 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 provide recommendations for corrective actions.
• Support implementation and continuous improvement of production control processes.

Manufacturing Systems & Digitalization

• Support and enhance Manufacturing Execution Systems (MES).
• Digitalization of logistic systems such as AGV, vertical warehouse, material flow, stock.
• Act as a liaison between Operations and IT developers.
• Support integration between MES, ERP, quality, supply chain, and reporting systems.

Data Analytics & Business Intelligence

• Support end users to analyze production data.
• Define requirements to create reports and visualizations using Power BI or similar business intelligence tools.
• Transform operational data into actionable insights for management.

Supply Chain & Logistics Support

• Develop and 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.

Regional Support & Travel

• Provide support to manufacturing facilities throughout the USA and Mexico. European travel is not ruled out and could occasionally take place.
• Travel to plant locations for system implementations, workshops, training, and operational assessments.
• Support cross-functional and international project teams.

Required education

• Bachelor's degree in Industrial Engineering, Manufacturing Engineering, Information Systems, Operations Management, Supply Chain Management, Computer Science, or a related field.

Required qualifications

• 3+ years of experience in a manufacturing environment.
• Experience within the Automotive Supplier Industry preferred.
• Experience with manufacturing operations, production control, or operational excellence initiatives.
• Exposure to Manufacturing Execution Systems (MES) strongly preferred.
• 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.

Required Competencies

• Analytical Skills
• Strong analytical and problem-solving capabilities.
• Ability to interpret large data sets and identify actionable insights.
• Communication Skills
• Excellent communication and presentation skills.
• Ability to communicate effectively with both technical and non-technical stakeholders.
• Project Management
• Ability to manage multiple initiatives simultaneously.
• Experience working in cross-functional and international teams.
• Customer-Oriented Mindset
• Strong internal customer focus.
• Ability to build trust and establish strong working relationships with plant teams.
• Independence & Initiative
• Self-motivated with a proactive approach.
• Comfortable working independently in a dynamic manufacturing environment.

Preferred qualifications

• Experience with Power BI, Power Apps, or Power Automate.
• Logistic 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.