Summary Analytic Methodologists provide expertise to define intelligence problems, decompose problems into workable tasks for analysts and data professionals, advise on best methods to accomplish those tasks, and develop and apply quantitative and qualitative techniques to enhance the analysis of complex national security issues. They employ knowledge of GEOINT analysis and intelligence needs to serve as Duties ADDITIONAL INFORMATION: Analytic Methodologists provide expertise to define intelligence problems, decompose problems into workable tasks for analysts and data professionals, advise on best methods to accomplish those tasks, and develop and apply quantitative and qualitative techniques to enhance the analysis of complex national security issues. They employ knowledge of GEOINT analysis and intelligence needs to serve as translators between mission officers and data professionals, applying knowledge of current and emerging analytic tools to develop models, visualize data, and perform a range of analyses (e.g., systems analysis, comparative analysis). They maintain awareness of Agency investments in new techniques, technologies, processes, and applications to identify potential solutions to analytic challenges. They provide technical consultation and input into the development, evaluation, use, and deployment of solutions to optimize GEOINT analysis and production. Additionally, they educate analysts, management, and customers on solutions and methodologies as they apply to GEOINT analysis. This job is for pipeline hiring to meet future directorate requirements and needs. Qualifications MANDATORY QUALIFICATION CRITERIA: For this particular job, applicants must meet all competencies reflected under the Mandatory Qualification Criteria to include education (if required). Online resumes must demonstrate qualification by providing specific examples and associated results, in response to the announcement's mandatory criteria specified in this vacancy announcement: Demonstrated experience communicating with, and conveying information to, both technical and non-technical personnel to share knowledge or to solve problems. Demonstrated experience using quantitative and qualitative analysis methods to solve problems and reach data-supported conclusions. Demonstrated experience developing models, visualizing data, and/or performing a range of analyses (e.g., systems analysis, comparative analysis) using analytic tools. Demonstrated proficiency in data analysis with a programming language such as R, Python or similar programming language, or software such as SAS or SPSS. Demonstrated experience with GIS and remote sensing tools (such as ArcGIS/Arc Pro, Boundless Desktop GIS, or QGIS) to conduct, or enhance, analysis. EDUCATION REQUIREMENT: A. Education: Bachelor's degree from an accredited college or university in Operations Research, Geographic Information Systems (GIS), Geography, or Natural Sciences; or at least 24 semester-hours in a combination of Operations Research, Mathematics, Probability, Statistics, Mathematical Logic, Science, or subject-matter courses requiring substantial competence in college-level Mathematics or Statistics. At least 3 of the 24 semester hours must have been in coding, data analysis, or data science. -OR- B. Combination of Education and Experience: A minimum of 24 semester (36 quarter) hours of coursework in any area listed in option A, that included at least 24 semester hours in a combination of Operations Research, Mathematics, Probability, Statistics, Mathematical Logic, Science, or subject-matter course substantial competence in college-level mathematics or statistics. At least 3 of the 24 semester hours must have been in coding, data analysis, or data science plus experience that required development and application of quantitative and qualitative techniques to enhance intelligence analysis or a related field that demonstrates the ability to successfully perform the duties associated with this work. As a rule, every 30 semester (45 quarter) hours of coursework is equivalent to one year of experience. Candidates should show that their combination of education and experience totals 4 years. DESIRABLE QUALIFICATION CRITERIA: In addition to the mandatory qualifications, experience in the following is desired: Demonstrated experience to work well within a team and build strategic relationships to achieve common goals. Demonstrated ability to deconstruct customer challenges and identify appropriate problem-solving techniques to address complex business operations or national security challenges. Knowledge of data mining using a variety of tools such as ArcGIS, SPSS Statistics or programing languages such as R, Python. Familiarity with Geospatial Intelligence or intelligence processes. Demonstrated ability with at least one of the following: statistical modeling; experimental design; research design; sampling; clustering; data reduction; confidence intervals; testing modeling, or predictive modeling. Experience identifying business processes that can be optimized through super intelligence (SI) tool integration.