Manufacturing Efficiency & Analytics Engineer

1000 Micron Technology, Inc.; Manassas (VA); On-site; USD 106,000 - 160,000; Full time

Benefits offered by this job

Medical plan

Dental plan

Vision plan

Paid time off

Job summary

Micron Technology, Inc. in Manassas, VA is seeking an analyst to optimize production operations, improve facility efficiency, and ensure high product quality across the manufacturing fab.

You will develop systems for scheduling, real-time dispatch, line management, production metrics and reporting, and apply data mining and statistics to drive improvements. The role requires a bachelor’s degree in Industrial Engineering, Operations Research, Computer Science, or related field, and experience

Qualifications

• Must design and deliver solutions to software problems.
• Apply agile processes to software development.
• Apply data mining techniques to industrial applications.
• Data mining using relational databases.
• Quantify improvements using applied statistics.
• Proficiency in SQL, C#, Java, or JavaScript.

Responsibilities

• Analyze and optimize the performance of production operations.
• Improve facility optimization and manufacturing efficiency.
• Develop systems for scheduling, real-time dispatch, line management, and production metrics.
• Share safety data and support on-call rotation for critical OI-related issues.
• Assist with scheduling, simulation, and project management to meet timelines.

Skills

Designing software solutions

Agile processes

Data mining techniques

Data mining relational databases

Applied statistics

SQL

C#

Java

JavaScript

Education

Bachelor's degree in Industrial Engineering, OR, CS, Business Management or related field

Job description

Micron Technology, Inc. in Manassas, VA is seeking an analyst to optimize production operations, improve facility efficiency, and ensure high product quality across the manufacturing fab.

You will develop systems for scheduling, real-time dispatch, line management, production metrics and reporting, and apply data mining and statistics to drive improvements. The role requires a bachelor’s degree in Industrial Engineering, Operations Research, Computer Science, or related field, and experience