The Congressional Budget Office is a small nonpartisan agency that provides economic and budgetary analysis to the Congress. CBO’s Budget Analysis Division seeks an IT professional to maintain the division’s in-house desktop software applications. The programmer analyst works with the division’s lead IT programmer.

The following are among the wide-ranging responsibilities of the position:

·       Convert designs and specifications into forms, classes, modules, functions, report forms, database tables, database code, and new applications;

·       Test software changes and participate in systemwide testing before new releases;

·       Respond to inquiries regarding errors, problems, and questions about the division’s software applications; and

·       Comply with the division’s IT design and coding standards.

  

The Congressional Budget Office’s summer internship program provides an excellent opportunity for students to experience and observe the budget process and policymaking at the federal level. Most of CBO’s employees are in the Washington, D.C., metropolitan area, and the internships will ideally be conducted in a hybrid manner. The summer internship program runs from May 28, 2024, to August 2, 2024; there may be some flexibility in those dates.

All CBO summer internships require solid writing skills and the ability to communicate clearly and concisely. Familiarity with computer programming, statistics, econometrics, and other quantitative methods is required. Ideal candidates also have exceptional interpersonal and analytical skills. U.S. citizens are eligible for consideration, as are noncitizens who are permanent residents of the United States and seeking citizenship. 

Students must also: 

• Be enrolled as a current graduate student, have completed their undergraduate education during the 2023-2024 academic year, or expect to complete their undergraduate education during the 2024-2025 academic year.
• Have an undergraduate major in economics, data science, public policy, mathematics, computer science, or related field or be pursuing graduate study in such a field. (Those pursuing an MBA or JD will not be considered.) 
• Be proficient with at least one type of data analysis software, such as SAS, STATA, Python, or R.