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FE Materials Business Intelligence Analyst at Micron Technology

Boise, Idaho, United States -

Full Time

Start Date

Immediate

Expiry Date

24 Mar, 26

Salary

0.0

Posted On

24 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Integrity, Predictive Models, Procurement, Labor Productivity, Market Intelligence, Problem-Solving, Benchmarking, Project Management, Financial Data, Communication, Collaboration, Resource Allocation, Agile, PMP, CAPM, Six Sigma

Industry

Semiconductor Manufacturing

Description

Support the development of advanced solutions and predictive models to enhance procurement decision-making and drive labor productivity improvements. Assist team members in ensuring data integrity and accessibility, and collaborate with Smart Manufacturing, IT, and other functions. Support external market intelligence analysis, problem-solving, benchmarking, and solution development. Evaluate data and information to identify opportunities and cost savings, and provide recommendations to support the strategic direction. Assist to collect and support the interpretation of interpret financial data for suppliers, collaborate to offer guidance for its interpretation. Apply project management principles across all phases: initiation, planning, execution, and closeout. Develop detailed project plans, schedules, and resource allocation strategies. Ensure projects are delivered on time, within scope, and within budget. Establish communication plans and maintain strong relationships with internal teams and external partners. Prepare status reports, dashboards, and metrics for leadership. Master's degree in Project Management, Business Administration, Supply Chain, Industrial Engineering or Computer Science, and graduating after May 2026 PMP, CAPM, or Six Sigma Certificates Experience in managing global, cross-functional projects Proficiency in project management tools Knowledge or project management methodologies (Agile, etc)

Responsibilities

Support the development of advanced solutions and predictive models to enhance procurement decision-making. Assist in evaluating data to identify opportunities and cost savings while collaborating with various teams.