Data Analytics Intern: BI, Apps & Automation

Textron Inc.; Wichita (KS); On-site; USD 25,000 - 34,000; Part time

Job summary

Textron Aviation offers a 2027 Internship - Maintenance Data Analyst to gain hands-on experience in data analytics, BI, and governance. You will build insights from internal data and contribute to data quality and standards while collaborating with cross-functional teams on real projects at Textron Aviation.

Youll work with Power BI, Power Apps, and Power Automate to develop dashboards, apps, and automated processes, while learning how analytics drive strategic decisions in a manufacturing

Qualifications

• Pursuing bachelor’s degree in MIS, Computer Science, Data Analytics, Engineering, Mathematics, Statistics, or related technical field/coursework.
• Manufacturing safety experience preferred.
• Power Platform experience preferred.

Responsibilities

• Be an active member within the data and analytics community, influencing cross functional growth in analytics capabilities.
• Conduct regular and ad-hoc analyses to convert data into strategic assets for business leaders.
• Help improve data quality by supporting data governance and data standards initiatives.
• Collaborate across teams to ensure analytics aligns with the organization’s strategic goals.

Skills

Strong written and verbal

Microsoft Office (Excel, PowerPoint)

Power Platform experience

Data analysis concepts

Relational databases

SQL

Python

Power BI

Tableau

SAS/R (analytics packages)

Education

Pursuing bachelor’s degree in MIS/CS/Data Analytics/Engineering/Math/Statistics

Manufacturing safety experience preferred

Tools

Power Platform

Job description

Textron Aviation offers a 2027 Internship - Maintenance Data Analyst to gain hands-on experience in data analytics, BI, and governance. You will build insights from internal data and contribute to data quality and standards while collaborating with cross-functional teams on real projects at Textron Aviation.

Youll work with Power BI, Power Apps, and Power Automate to develop dashboards, apps, and automated processes, while learning how analytics drive strategic decisions in a manufacturing