Manufacturing Analytics & Planning Engineer

1000 Micron Technology, Inc.; Boise (ID); On-site; USD 95,000 - 130,000; Full time

Benefits offered by this job

Medical, dental, and vision plans

Paid time-off

Paid holidays

Job summary

Micron Technology, Inc. in Boise, Idaho, seeks a data analytics-driven Industrial Engineer to apply statistics and IE concepts to planning and forecasting models.

You will collaborate with Engineering to stay aligned with metrics and strategic plans, design and coordinate projects across departments, and ensure accurate resource prediction, scheduling, and contingency planning. A Master’s degree in Industrial and Systems Engineering or related field is preferred; a Bachelor’s with 2 years’

Qualifications

• Master’s degree in Industrial and Systems Engineering, Manufacturing Engineering, Production Operations Management or related field.
• Bachelor’s degree in Industrial and Systems Engineering, Manufacturing Engineering, Product Operations Management or related field with 2 years of experience.

Responsibilities

• Apply statistical analysis and IE concepts to planning and forecasting models.
• Collaborate with Engineering to stay updated on metrics and strategic plans; design and coordinate complex cross-department projects.
• Utilize data techniques to establish quality and efficiency improvements and create innovative data solutions for strategic forecasts.

Skills

Data analysis

Data visualization

Executive communication

Project management

SQL

Python

MS Suite

Education

Master's degree in Industrial/Systems Engineering or related field

Bachelor’s degree in Industrial/Systems Engineering or related field with 2 years experience

Tools

Tableau

MS Excel

SQL

Python

Job description

Micron Technology, Inc. in Boise, Idaho, seeks a data analytics-driven Industrial Engineer to apply statistics and IE concepts to planning and forecasting models.

You will collaborate with Engineering to stay aligned with metrics and strategic plans, design and coordinate projects across departments, and ensure accurate resource prediction, scheduling, and contingency planning. A Master’s degree in Industrial and Systems Engineering or related field is preferred; a Bachelor’s with 2 years’