Supply Chain COE Analyst

MACHINE LEARNING TECHNOLOGIES LLC; Gurnee (IL); On-site; USD 60,000 - 80,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC is seeking a Supply Chain COE Analyst in Gurnee, IL to manage raw material procurement and oversee logistics processes. The role requires a degree in Industrial Engineering or a Master of Science in Supply Chain Management along with 3+ years of relevant experience.

The successful candidate will handle procurement, production planning, and maintain quality standards, with significant responsibilities in liaising with suppliers and managing inventory systems.

Qualifications

• Minimum 3 years of experience in material planning or procurement.
• Knowledge of SAP or equivalent ERP system.
• Experience in the paper, packaging, or printing industry is a plus.

Responsibilities

• Manage raw materials procurement and liaise with suppliers.
• Oversee inbound and outbound logistics and system reconciliation.
• Handle indirect purchasing and select suppliers.
• Facilitate collaboration between quality department and suppliers.
• Analyze production processes and draft performance reports.

Skills

SAP

Material planning

Procurement

Production planning

Education

Degree in Industrial Engineering or MS in Supply Chain Management

Job description

Job Overview

• Job ID: J52382
• Job Title: Supply Chain COE Analyst
• Location: Gurnee, IL
• Duration: 21 Months + Extension
• Hourly Rate: Depending on Experience (DOE)
• Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, L2-EAD, GC-EAD
• Client: To Be Discussed Later
• Employment Type: W-2, 1099, C2C

Responsibilities

• Raw Materials Procurement: Managing raw material orders based on consumption, liaising with suppliers, monitoring deliveries, scheduling arrivals, updating restock parameters in the ERP system (SAP), and managing stock and inventory. Direct interaction with the Italian Procurement Department for scouting and the adoption of corporate best practices. The role also involves searching for local suppliers or alternative supply options in compliance with Cimpress and Pixartprinting policies and objectives.
• Inbound and Outbound Logistics: Managing inbound raw material processes in collaboration with the warehouse, ensuring physical and accounting reconciliation in SAP. Coordinating with couriers to schedule shipments, managing system issues, and interfacing with customer service. He/she will also act as a local support point for specific import-related missions.
• Indirect Purchasing: Managing the purchase of products and services for the facility, collecting or entering purchase requests in SAP, selecting suppliers, approving expenses, and overseeing final receipt processes.
• Quality Support: Facilitates effective collaboration between Quality department, Warehouse, and suppliers in managing non-conformities. Supports the validation process of new materials by coordinating sample deliveries and organizing relevant documentation and information flow.
• Production Planning: Analyzing production and planning processes and interacting with production departments to ensure compliance with production schedules and to promptly solve problems; performing analyses to identify improvement and/or preventive actions and drafting performance reports and monitoring process KPIs.

Qualifications

The candidate preferably has a degree in Industrial Engineering or a Master of Science (MS) in Supply Chain Management and has at least 3 years of experience in material planning or procurement within medium to large organizations. In addition, they have knowledge of SAP or an equivalent ERP system. Previous experience in the paper, packaging, or printing industry will be considered a plus.

Equal Opportunity Employer

MACHINE LEARNING TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. MACHINE LEARNING TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will MACHINE LEARNING TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract.