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Intern - Corporate FP&A at Micron Technology
Boise, Idaho, United States -
Full Time

Start Date

Immediate

Expiry Date

22 Feb, 26

Salary

0.0

Posted On

24 Nov, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Microsoft Excel, PowerPoint, Power BI, Financial Analysis, Data Visualization, Financial Modeling, Communication Skills, Organizational Skills, Detail-Oriented, Analytical Skills, Problem-Solving Skills, Collaboration, Forecasting, Reporting, Data Collection, Software Proficiency

Industry

Semiconductor Manufacturing

Description
Visualize key concepts from complex and multiple data sources using Microsoft Excel, PowerPoint, Power BI, and other software platforms Convey data clearly and accurately by using charts, graphs, and tables Navigate information system applications (e.g., TM1, SAP, Adaptive Insights) to collect actual and forecast data Analyze financial data to build reports summarizing key trends/variances in financial data Design, develop, and maintain financial planning and forecast models Manage ad hoc financial modeling projects based on issues or needs identified by the FPA leadership team Create and maintain consistency in reporting across the organization Collaborate cross functionally to develop new data initiatives and automation of key processes Communicates to share knowledge and findings, presenting results in a manner that the finance team and business partners can understand Enrolled in Bachelor's degree program in Business, Finance, Economics or related field Interest in Semiconductor industry Excellent oral and written communications skills The ability to be highly organized and detail-oriented, with a strong focus on accuracy Good analytical and problem-solving skills Proficient in Excel Availability to serve in the role during the summer months of 2026
Responsibilities
The intern will visualize key concepts from complex data sources and analyze financial data to build reports summarizing key trends. They will also design and maintain financial planning models and collaborate on new data initiatives.