Job Summary

This position is in the VA Central Office Veteran Readiness and Employment (VR&E) Service. The Program Analyst performs qualitative and quantitative data collections and analysis to report pertinent information needed to carry out VR&E mission. This position may be filled in Washington DC or Nashville TN.

Job Description

To qualify for this position, applicants must meet all requirements by the closing date of this announcement:06/24/2026. TIME-IN-GRADE REQUIREMENT: Applicants who are current Federal employees and have held a GS grade any time in the past 52 weeks must also meet time-in-grade requirements (unless if in the commuting area and eligible for a non-competitive hiring authority such as Schedule A, VRA, or 30% or more disabled Veterans). For a GS-11 position you must have served 52 weeks at the GS-09 level. If you are a current VBA employee outside of the commuting area seeking reassignment or change to lower grade via this vacancy announcement, you must currently hold the GS 09 (or higher) and the promotion potential of your current position must be at least GS-13. The grade may have been in any occupation, but must have been held in the Federal service. An SF-50 that shows your time-in-grade eligibility must be submitted with your application materials. These requirements also apply to former Federal employees applying for reinstatement and those applying for a Veterans Employment Opportunities Act of 1998 (VEOA) appointment. MINIMUM QUALIFICATION REQUIREMENT: You may qualify based on your experience and/or education as described below: GS-11 Grade Level: GS-11:To qualify for the GS-11 Applicants must have one year of specialized experience equivalent to at least the next lower grade (GS-09) in the normal line of progression for the occupation in the organization. Specialized Experience: SQL Queries: Experience in writing SQL queries for data extraction and manipulation in database management systems such as MySQL, PostgreSQL, or Oracle. Statistical and Regression Analysis: Proficiency in conducting statistical analyses and regression modeling to identify trends and relationships in data, utilizing software like Python, SAS, or R. Workload and Time Series Forecasting: Ability to analyze historical data for workload and time series forecasting, employing techniques and tools such as ARIMA, Prophet, or Excel. Data Extraction and Visualization: Expertise in extracting data from various sources and creating insightful visualizations using platforms like Tableau or Power BI. Education Substitution: Ph.D. or equivalent doctoral degree or 3 full years of progressively higher level graduate education leading to such a degree or LL.M., if related OR Combination: Applicants may also combine education and experience to qualify at this level. Combining Education & Experience: If you do not fully meet the length of experience and education described for a specific grade level (e.g. have six months of experience and some coursework but not a degree), the two can be combined to total 100% of the requirement. Click here for more information. Volunteer Experience: Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religions; spiritual; community; student; social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience. Full vs. Part-Time Employment: Full-time employment is considered to be at least 35 hours per week. Part-time experience will be credited on a pro-rated basis; when including part-time employment in your resume you must specify the average hours worked per week. Physical Requirements: The work is mostly sedentary; however, there may be some walking, standing, and carrying of light items such as papers, books, folders, and files. GS-12 Grade Level: Specialized Experience: GS-12: To qualify for the GS-12 Applicants must have one year of specialized experience equivalent to at least the next lower grade (GS-11) in the normal line of progression for the occupation in the organization. Specialized experience: Specialized experience is defined as experience in two or more of the following Analytical skills: SQL Queries: Experience in writing complex SQL queries for data extraction and manipulation in database management systems such as MySQL, PostgreSQL, or Oracle. Modeling and Machine Learning: Experience in building predictive models and deploying machine learning algorithms using tools such as R or Python. Statistical and Regression Analysis: Proficiency in conducting statistical analyses and regression modeling to identify trends and relationships in data, utilizing software like Python, SAS, or R. Workload and Time Series Forecasting: Ability to analyze historical data for workload and time series forecasting, employing techniques and tools such as ARIMA, Prophet, or Excel. Data Extraction and Visualization: Expertise in extracting data from various sources and creating insightful visualizations using platforms like Tableau or Power BI. GS-13 Grade Level: Specialized Experience: To qualify for the GS-13 Applicants must have one year of specialized experience equivalent to at least the next lower grade (GS-12) in the normal line of progression for the occupation in the organization. Specialized experience: Specialized experience is experience in three or more of the following Analytical skills: SQL Queries: Experience in writing complex SQL queries for data extraction and manipulation in database management systems such as MySQL, PostgreSQL, or Oracle. Modeling and Machine Learning: Experience in building predictive models and deploying machine learning algorithms using tools such as R or Python. Statistical and Regression Analysis: Proficiency in conducting statistical analyses and regression modeling to identify trends and relationships in data, utilizing software like Python, SAS, or R. Workload and Time Series Forecasting: Ability to analyze historical data for workload and time series forecasting, employing techniques and tools such as ARIMA, Prophet, or Excel. Data Extraction and Visualization: Expertise in extracting data from various sources and creating insightful visualizations using platforms like Tableau or Power BI. For more information on these qualification standards, please visit the United States Office of Personnel Management's website at http://://www.opm.gov/policy-data-oversight/classification-qualifications/general-schedule-qualification-standards/.