Data Analytics SUMMER 2027 Intern

We are looking for a creative and motivated applicant to assist the Flight Demonstrations and Capabilities (FDC) Project Management team in collection, integration, and analysis of diverse data sets including but limited to technical, financial, and risk information. The Intern will create a data driven dashboard to provide insight on status of various project elements. Intern will assist in developing metrics to measure performance and quality of project execution. Through this experience, the intern will learn or improve on skills in the areas of data modeling and visualization, storytelling with data, and data driven decision making.

Tools such as Power BI and other tools can be used to integrate data from current schedules and budget related data sets to provide meaningful and actionable information. Most raw data will be in MS Project and MS Excel formats, located both on SharePoint and local PCs/OneDrive. The goal will be to link raw data to a dashboard data summary as well as automatically update MS PowerPoint slides so they are always up-to-date. It would be a bonus, if the intern could utilize Super Intelligence (SI) tools (such as ChatGPT GOV) to generate different levels of summaries and highlights based on email, teams, and other source information.

The FDC Project is responsible for a variety of flight research projects, such as SCHAMROQ, which stands for Schlieren, Airborne Measurements, and Range Operations for Quiet SuperSonic Technology (Quesst), that will support X-59 flight activities. Additionally, the project supports a fleet of support aircraft, including 2 F-15s and 3 F-18s, and facilities that perform aircraft mechanical and thermal ground testing, aircraft simulators, and radar and optical tracking in support of flight activities.

COMPUTER/SOFTWARE SKILLS: Excel (including the use and creation of pivot tables), PowerPoint, databases, Power BI, Project, Tableau (desired but not necessary), and Microsoft Office.

OTHER SKILLS: Have good analytical skills. A good problem solver that is detailed oriented. Have a passion for data along with good communication skills. Self-starter.

**This project is for full time (400) hours over 10 weeks, in-person at AFRC.

**Eligible Applicants:** Student
**Academic Level:** Undergraduate Freshman, Undergraduate Sophomore, Undergraduate Junior, Undergraduate Senior, Graduate Master's, Graduate Doctoral, Post Doctoral
**Activity Type:** In-person
**Citizenship:** US Citizen Only
**Type:** Internships