2027 Internship - Data Analyst - Parts

Textron•Wichita, KS

8d•Onsite

About The Position

As an intern with Textron, you’ll gain hands-on experience while exploring your interests and building new skills. You’ll be supported and challenged to contribute in meaningful ways – working on real projects alongside experienced professionals to prepare for future success. Candidate will learn and apply expertise on Textron Aviation Parts and Distribution organization while developing and optimizing strategic initiatives by generating actionable insights and recommendations from internal and external data.

Requirements

Pursuing a Bachelor’s or Master’s Degree in Business Administration, Engineering, Mathematics, Economics, Statistics, Data Analytics, or other related field
Drive and desire to excel in an autonomous environment
Bias for action – ability to take initiative and act on curiosities
Desire and ability to learn and leverage new software tools and processes in a self learning environment
Applicants must be authorized to work lawfully in the U.S. for Textron Aviation at the time of making application, and visa sponsorship is not available for this position, including for F-1 students and J-1 exchange visitors who will need employment sponsorship.
Candidates must be able to work onsite for the entirety of the internship program unless approved otherwise by the hiring manager.

Responsibilities

Performs data analysis via various data-mining and statistical techniques to gain insights from data to support business objectives.
Collaborate cross functionally to develop and implement new processes
Collects, manages, analyzes and interprets large volumes of data while ensuring a high level of data quality.
Leverage tools to develop and maintain curated data sets for use in analysis
Develop and maintain data reports measuring daily business activities in PowerBi, Alteryx, and other tools using query languages and formula libraries such as SQL and DAX
Work to improve data quality within TAPD by assisting Data Governance efforts in creating and maintaining data quality standards
Provide recommendations to the business for new initiatives to support business objectives
Interface with other data professionals throughout the organization to embrace cross functional growth in analytics capabilities