Description:
This position is located in the Office of Planning, Evaluation, and Policy Development, Office of Budget Service, Cost Estimation and Analysis Division (CEAD), in Washington, DC. CEAD is responsible for developing full-cost estimates for multiple educational programs, as well as aiding in administrative cost estimates for Federal student financial assistance programs.
Requirements:
Minimum Qualification Requirements
You may meet the minimum qualifications for the GS-14, if you possess the specialized experience and basic education requirement or a combination of the two.
Specialized Experience for the GS-14:
One year of experience in either federal or non-federal service that is equivalent to at least a GS-13 performing two (2) out of three (3) following duties or work assignments.
1. Experience analyzing student aid program data, federal student loan programs, or Pell Grant programs to assess the impacts of major legislative and policy changes.
2. Experience developing cost estimates with federal student loan programs (i.e. Health Education Assistance Loans (HEAL), Perkins, Federal Family Education Loans (FFEL), Direct Loans, or Parent Loans for Undergraduate Students (PLUS), Consolidation, and Federal student loan program changes.
3. Experience with Federal Tax Information or student aid data specifically used in student loan cost estimates for borrower income projections and other forecast models.
Knowledge, Skills, and Abilities (KSAs):
The quality of your experience will be measured by the extent to which you possess the following knowledge, skills and abilities (KSAs). You do not need to provide separate narrative responses to these KSAs, as they will be measured by your responses to the occupational questionnaire (you may preview the occupational questionnaire by clicking the link at the end of the Evaluations section of this vacancy announcement).
1. Knowledge of statistical data from Federal Student Aid, National Center for Education Statistics, Census, IRS and other sources.
2. Knowledge of applying qualitative or quantitative analytical methods to evaluate program effectiveness and to enhance management processes and systems.
3. Skill in statistical resources, specifically Python and SAS, as well as internal and external data sources such as EDWA and FTI-DM.
4. Knowledge of program goals and objectives on the timing of key program events and the methods of evaluating accomplishments.