IT Intern at MAT Holdings, Inc

Hawthorn Woods, Illinois, United States -

Full Time

Start Date

Immediate

Expiry Date

25 Jun, 26

Salary

17.0

Posted On

27 Mar, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

OpenSearch, Data Ingestion Pipelines, Machine Learning, Data Visualization, Dashboard Development, Server Setup, Environment Configuration, Unstructured Data, SAP BW, MES, User Management, Access Controls, Security Concepts, Cost Analysis, Scalability, Python

Industry

Motor Vehicle Manufacturing

Description

Company Description Join our vertically integrated team at MAT Holdings, Inc., a leading global manufacturer with a 40-year history. We're proud to provide employment opportunities for more than 14,000 employees across 12 countries. Headquartered in Long Grove, Illinois, we have over 40 factories on three continents, including 2.1 million square feet of U.S. distribution and manufacturing space. You will find our products in home improvement centers, big box retailers, hardware stores and automotive chains. They're in the cars you drive, the trailers you tow, and the heavy-duty machinery you operate. MAT can maintain consistent expertise and solutions across the entire supply chain. We’re experts in engineering, manufacturing, quality assurance, logistics and distribution, marketing, design, and customer service — we don't just make it happen, we ensure it happens with excellence. We’re more than manufacturing, we’re MAT. Job Description We are seeking an IT Intern to support the development and implementation of a search and analytics solution using OpenSearch. This project focuses on enabling text-based search and analytics across multiple sets of unstructured data to improve visibility, insight, and decision-making. The intern will work cross-functionally with IT Infrastructure, SAP, and MES teams to design data ingestion pipelines, evaluate machine learning capabilities, and deliver meaningful visualizations and dashboards. Pay range: $14 - 17 per hour Principle Responsibilities Collaborate with IT Infrastructure to support server setup and environment configuration for OpenSearch. Work with SAP and MES teams to identify, source, and ingest unstructured data currently stored in systems such as SAP BW and MES. Design and implement automated data ingestion pipelines for at least five unstructured data sources, including but not limited to: Customer Orders Production Data Sales Data Web-Scraped Data MES Data Analyze and evaluate OpenSearch machine learning plugins to determine best-fit use cases. Support user management, access controls, and security concepts within OpenSearch. Develop dashboards and visualizations (charts, graphs, etc.) to present search results and analytics. Perform a cost analysis related to scalability and future expansion of the solution. Conduct a pro/con analysis comparing OpenSearch capabilities to existing tools such as SAP BW and Power BI. Qualifications Competencies Strong analytical and problem-solving skills with the ability to work with unstructured data. Basic understanding of data pipelines, search technologies, or analytics platforms. Excellent interpersonal, verbal, and written communication skills. Ability to collaborate effectively with cross-functional technical teams. Highly motivated, curious, and eager to learn new technologies. Strong organizational skills with attention to detail. Ability to manage multiple tasks in a deadline-driven, fast-paced environment. Experience/Experience Pursuing a degree in Information Technology, Computer Science, Data Science, or a related field Familiarity with Linux environments, scripting, or programming languages (e.g. Python, SQL) are a plus Must be proficient with Microsoft Office products, particularly Excel, Word, and Outlook. Knowledge of SAP a plus. Additional Information All your information will be kept confidential according to EEO guidelines.

Responsibilities

The intern will support the development and implementation of an OpenSearch solution for text-based search and analytics across unstructured data, collaborating cross-functionally to design data ingestion pipelines and evaluate machine learning capabilities. Key tasks include automating data ingestion from sources like SAP BW and MES, developing visualizations, and performing comparative analysis against existing tools.