Manufacturing Data Analyst

Addison Group; Waukegan (IL); On-site; USD 75,000 - 95,000; Full time

Job summary

Addison Group is seeking a Manufacturing Data Analyst in Waukegan, IL, onsite, to drive data-driven insights across supply chain and manufacturing. The role focuses on SIOP support, forecasting, inventory analysis, and KPI reporting to improve operations.

Your work will include building dashboards in Power BI/Tableau, validating ERP data, and partnering with Planning, Operations, and Finance to align demand with capacity. Strong Excel and ERP/MRP experience are essential.

Qualifications

• Bachelor’s degree or equivalent work experience required.
• 5 years in supply chain or manufacturing operations with data analysis focus.
• 2 years supporting or managing SIOP processes.
• Advanced Excel skills and ERP/MRP experience.
• Power BI or Tableau experience preferred.
• Ability to translate data into actionable insights for stakeholders.

Responsibilities

• Deliver accurate BI to support Supply Chain, SIOP, planning, and manufacturing ops.
• Develop dashboards for forecast accuracy, inventory health, supplier performance, KPIs.
• Own SIOP data tracking; provide weekly/monthly updates highlighting gaps and risks.
• Partner with Planning, Commercial, Operations, Purchasing, and Finance to align forecasts.
• Maintain databases, data models, and reporting tools for proactive decisions.
• Analyze history to identify trends, variances, risks, improvements in planning and material availability.
• Validate ERP data, including routings and BOMs; gatekeeper for master data changes.
• Support monthly forecasting, scenario planning, benchmarking, and continuous improvement.

Skills

Advanced Excel

Data analysis

Forecasting

Cross-functional collaboration

Communication

Education

Bachelor’s degree in Computer Science, Data Analytics, Business Management, or equivalent

Tools

Microsoft Navision / ERP-MRP

Power BI

Tableau

Job description

Employment Status: Full-Time, Salaried/Exempt

Location: Waukegan, IL

Schedule: Onsite daily Monday through Friday from 8 am – 5 pm CT.

Salary: $75,000 - $95,000

Position Overview

The Manufacturing Data Analyst will enhance supply chain and manufacturing performance through data-driven insights, SIOP reporting, forecasting support, inventory analysis, ERP data validation, and operational KPI reporting.

Key Responsibilities

• Deliver accurate and timely business intelligence to support Supply Chain, SIOP, planning, and manufacturing operations.
• Develop and maintain reports and dashboards related to forecast accuracy, inventory health, supplier performance, production efficiency, and operational KPIs.
• Own SIOP data tracking and provide weekly and monthly updates that highlight gaps, risks, and improvement opportunities.
• Partner with Planning, Commercial, Operations, Purchasing, and Finance teams to align demand forecasts with operational capabilities.
• Maintain and improve databases, data models, and reporting tools that support proactive decision-making.
• Analyze historical data to identify trends, variances, risks, and improvement areas in production planning and material availability.
• Validate ERP data, including routings and BOMs, and act as a gatekeeper for master data changes.
• Support monthly forecasting, scenario planning, benchmarking, and continuous improvement initiatives.

Qualifications & Skills

• Bachelor’s degree in Computer Science, Data Analytics, Business Management, or equivalent work experience.
• 5 years of experience in supply chain or manufacturing operations with a focus on data analysis, forecasting, and strategic business operations.
• 2 years of experience directly supporting or managing Sales, Inventory and Operations Planning (SIOP).
• Advanced Excel skills, including VLOOKUPs, Pivot Tables, Power Query, SUMIFs, and related functions.
• Experience with ERP/MRP systems such as Microsoft Navision or similar platforms.
• Experience with Power BI, Tableau, or other visualization tools preferred.
• Experience with forecasting and trend analysis tools or methods, including time series and regression models.
• Strong ability to translate complex data into actionable insights for cross-functional stakeholders.

Physical Requirements

• Ability to lift up to 15 pounds at a time.
• Ability to sit for prolonged periods while working at a computer.
• Ability to work in a traditional office setting with normal noise levels.
• Ability to view a computer screen for extended periods and review detailed data.

Benefits

The company offers a comprehensive benefits package that includes medical, dental, and vision insurance, 401(k), paid maternity leave, paid paternity leave, tuition assistance, disability insurance, paid time off and holidays, and additional wellness and lifestyle benefits.