Data Visualization Specialist

Applicants will be considered based on their knowledge, skills or abilities related to project needs. Specifically, applicants should have: Data visualization; data analysis; experience with data science and Geographic Information Systems preferred Make an impact while you learn. The Semester of Service Program offers students a volunteer project-based opportunity to support Federal missions, gaining hands-on experience & valuable career-ready skills. Students must be enrolled at least half-time in an accredited trade school, technical or vocational institute, junior college, college, university, or other accredited educational institution, & participation must be with the permission of the institution at which the student is enrolled.

• This vacancy announcement will be open from May 13, 2026 to May 19, 2026 or when 25 applications have been received. The vacancy will close on whichever day the first of these conditions are met. If the application limit is reached on the same day the announcement opened, the open and close date will be the same. Candidates are encouraged to read the entire announcement before submitting their application packages. Seeking a student volunteer to work on developing templates for data analytics products that can be replicated for multiple countries (e.g. glossy two-page overview of key foreign assistance results per country). This entails supervised work to understand INL's priority metrics, develop standard ways to represent aggregations of results data, and consolidate quantitative, geographic, and brief descriptive information into a visually appealing two-page overview template for leadership. Once the template is finalized, the student volunteer will replicate the product for specific countries. Other data analysis product tasks may include: building two-page user guides for standard reporting data tables for implementers; building analytic products based on results type (e.g. seizures, investigations, arrests) and/or based on implementer; building maps of key results using GIS; and developing custom reporting templates within existing software platform (DevResults).