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EAD - GDW Data Quality and Analytics intern

Date: Apr 30, 2018

Location: Boise, ID, US

Company: Micron


Req. ID: 118767 

The position will focus on providing analytics and views for decision support of Inspector Gadget which is a system that automates data consistency and standards within Nexus and GDW.   Inspector Gadget is very innovative by utilizing software to analyze all of the related objects as they are being built.  The system is being modelled after a similar concept from Kaiser Permanente.  


Characteristics and Responsibilities

  • Develop and SQL and Python scripts that validate object, deployment, and system consistency
  • Develop and test analytics, and reports for Inspector Gadget
  • Develop additional capabilities in Inspector Gadget such as exceptions and “snooze”
  • Prepare ad hoc reports and initial data analysis related to system and Data Quality metrics



Must be continuning education past September 1st, 2018

We recruit, hire, train, promote, discipline and provide other conditions of employment without regard to a person's race, color, religion, sex, age, national origin, disability, sexual orientation, gender identity and expression, pregnancy, veteran’s status, or other classifications protected under law.  This includes providing reasonable accommodation for team members' disabilities or religious beliefs and practices.

Each manager, supervisor and team member is responsible for carrying out this policy. The EEO Administrator in Human Resources is responsible for administration of this policy. The administrator will monitor compliance and is available to answer any questions on EEO matters.

To request assistance with the application process, please contact Micron’s Human Resources Department at 1-800-336-8918 (or 208-368-4748).

Keywords:  Boise || Idaho (US-ID) || United States (US) || SGA || Entry || Internship || Information Systems and Technology || Not Applicable ||

Nearest Major Market: Boise
Nearest Secondary Market: Meridian

Job Segment: Analytics, Database, Intern, Data Analyst, Technology, Management, Quality, Entry Level, Data