Resonetics

Supply Chain Internship

Job Locations US-CT-Bethel
ID
2025-3175
Job Category
Operations
Position Type
Temporary Full-Time

Overview

About Us:
Resonetics is a leader in micro-manufacturing for life sciences, providing precision laser processing and advanced automation solutions. Our Supply Chain team plays a critical role in ensuring operational efficiency, and we are seeking a motivated Supply Chain Data & Capacity Modeling Intern to support key initiatives.  This internship runs from approximately from May - August of 2025.  

 

Position Overview:
This internship offers a hands-on opportunity to contribute to data integrity and capacity modeling efforts within the Supply Chain team. The primary focus is assisting with ERP data cleansing, supply chain capacity analysis, and process improvements to enhance planning and resource allocation. Additional responsibilities include data validation, report generation, and system process enhancements.

 

 

Responsibilities

  • Work with the Supply Chain team to cleanse and standardize ERP data, ensuring accuracy and consistency.
  • Assist in capacity modeling to improve forecasting and resource planning.
  • Analyze large datasets and develop reports to support supply chain decision-making.
  • Identify and resolve data inconsistencies in ERP and planning systems.
  • Assist in process improvement initiatives related to inventory management and demand planning.

Qualifications

  • Currently pursuing a degree/diploma in Supply Chain Management, Business, Industrial Engineering, or a related field.
  • Familiarity with ERP systems (QAD experience is a plus).
  • Strong analytical skills with proficiency in Excel (PivotTables, VLOOKUP, data visualization, etc.).
  • Demonstrated ability to apply principles of:
    • Data analysis and statistics
    • Operations management
    • Forecasting and capacity planning
  • Strong attention to detail, problem-solving abilities, and ability to work both independently and collaboratively.

Compensation

The compensation for this role is competitive and will be based on experience and qualifications. The anticipated compensation is $20.00 per hour.

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