About this role
Job SummaryThis 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, District of Columbia, Indianapolis, Indiana, Philadelphia, Pennsylvania, or Nashville, Tennessee.
QualificationsTo qualify for this position, applicants must meet all requirements by the closing date of this announcement:10/14/2026. 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. For a GS-11 position you must have served 52 weeks at the GS-09 level. For a GS-12 position you must have served 52 weeks at the GS-11 level. For a GS-13 position you must have served 52 weeks at the GS-12 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. 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: Specialized experience is defined as experience in one 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. 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. GS-12 Grade Level: 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: 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. Education Substitution: There is no education substitution at this grade level. GS-13 Grade Level: GS-13: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. Education Substitution: There is no education substitution at this grade 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. 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/.
Major DutiesMajor duties for this position include: Develop or refine data processing techniques for the purpose of automating data calculations to enhance reporting capabilities for the VR&E program. Develops data models to support user interfaces for automated information systems and maps data elements to user interfaces. Identifies data elements to support business rules in the modern claims processing system as required. Provides advice and assistance relative to the input for the data modeling and performance objectives relative to the recommended program changes of business processes or automated information systems; implementation of which will enhance management and delivery of VR&E's benefits services provided to Service members, Veterans, and their families. Collects, catalogues, and monitors the technical details of existing claims intake business processes and supporting systems. This includes documentation relating to business processes, data interfaces, data requirements, system requirements and other technical information. Provides in-depth analysis of program growth rate and trend analysis for all program performance measures to forecast future business needs throughout VR&E. Employs a wide range of analytical skills and leverages quantitative and qualitative methodologies to respond to a multitude of recurring and high priority internal and external information requests, timely and accurately. Develop and deploy real-time data for evidence-based decision making throughout the enterprise by leveraging existing and future technology. Conducts reviews of current or proposed data and information systems in relation to the needs of VR&E Service and associated field staff. Determines how data and information being used helps or hinders VR&E and VBA management in their decision-making processes. Consults and coordinates with Regional Office staff, Office of Information Technology (OIT) technical staff, VBA Central Office program staff, contract support staff, Veteran Service organizations, computer specialists and program analysts as applicable; to develop changes/revisions to existing data reporting mechanisms. Furnishes expert advice and technical assistance on issues concerned with proposed policies and procedural changes that may significantly affect the data intake and processing of Veterans claims and services. Collaborates with assigned project manager and contracting officer to monitor performance and elevate/identify contract issues and/or modifications. Prepares documentation necessary to develop reports for all levels of management and operations and identifies the data elements needed to complete the reports. Performs all other duties as assigned.RequirementsAs a condition of employment for accepting this position, you will be required to serve a 1-year probationary period during which we will evaluate your fitness and whether your continued employment advances the public interest. In determining if your employment advances the public interest, we may consider: your performance and conduct; the needs and interests of the agency; whether your continued employment would advance organizational goals of the agency or the Government; and whether your continued employment would advance the efficiency of the Federal service. Upon completion of your probationary, your employment will be terminated unless you receive certification, in writing, that your continued employment advances the public interest. You must be a U.S. Citizen to apply for this job Selective Service Registration is required for males born after 12/31/1959 You may be required to serve a probationary period Subject to background/security investigation Selected applicants will be required to complete an online onboarding process Selected applicants will be required to complete an online onboarding process. Acceptable form(s) of identification will be required to complete pre-employment requirements I-9 Acceptable Documents.