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Supervisory Investigative Analyst

Department of Education Headquarters · Washington, District of Columbia, United States

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Summary This position is located in the Office of Inspector General (OIG), Data and Analytic Services (DAS). The DAS Director oversees the OIG's data analytics program and manages a multi-disciplinary team responsible for utilizing processes, systems, research, analyses, and/or evaluation to extract insights on fraud from structured and unstructured data and to provide guidance for data-driven decision making in support of going OIG investigations, audits, and inspections. Duties Fraud doesn't stop, and neither do we. We're ED OIG, an independent oversight office within ED charged with identifying and preventing fraud, waste, and abuse, and ensuring accountability and effectiveness in ED programs. If you want to help fight fraud and make a difference for America's students, schools, and taxpayers, we may have the career for you! We offer competitive salaries, opportunities for rapid and substantial salary increases and career growth, great benefits, employee recognition programs, and more. Often referred to as America's watchdogs, it's the OIG's job to help ensure that the hard-earned tax dollars that fund ED programs and operations are used as intended by law, achieve the desired results, and reach the intended recipients. The OIG conducts audits and reviews of issues involving Federal student aid, K-12 schools, charter schools, special education, career and technical education, adult education, and more. When our work identifies problems, we propose solutions. Our work has resulted in improvements to ED programs and changes to some of the most important Federal education laws in our country. The OIG also conducts criminal and civil investigations into suspected fraudulent activities by schools, colleges, universities, contractors, subcontractors, school officials-any entity or individual that participates in ED programs or receives ED funding. Through our work, we have unraveled multimillion-dollar fraud schemes by people placed in positions of trust to educate our children. We're also on the cutting edge of cybersecurity, using the latest technology and techniques to discover and defeat current and emerging threats from cyber and economic crime. We tackle new and emerging issues head-on and continually work to improve our techniques and capabilities. We consistently expand our expertise by training and developing our staff. This dedication has enabled the OIG to become a leader in the Federal government in the areas of audits, investigations, and fighting cybercrime. Whether you're just entering the workforce or are a seasoned professional, if you're looking for a career rather than just a job, and interested in shaping the next generation of Americans tackling tomorrow's challenges, consider joining our team. As a Supervisory Investigative Analyst, GS-1805-15, the incumbent will perform the following duties: As the senior manager for the office, directs, trains, and leads a cross-functional team of data scientists, IT auditors, financial analysts, and investigative analysts to meet organizational goals. Provides leadership in the development and management of data strategy, policy, risk management and governance, utilizing methodologies, process, algorithms, and systems to extract insights about fraud. Oversees a comprehensive portfolio of data-related products and services, including reports; advanced statistical analysis; dynamic visualizations; dashboard and tool development, and support for evidence-based decision-making. Communicates technical statistical methods, findings and data insights into actionable, non-technical policy or strategic recommendations. Qualifications Minimum Qualification Requirements: You may meet the minimum qualifications for the GS-15, if you possess the specialize experience. Specialized Experience for the GS-15. One year of experience in federal service that is equivalent to at least a GS- 14 performing the following duties or work assignments: 1. Demonstrated experience leading in-depth data analytical and risk modeling initiatives for purposes of identifying fraud risks and trends. 2. Demonstrated experience in effective customer service, including working with clients and stakeholders to assess and meet needs and provide quality products and services. 3. Demonstrated experience in effective problem solving, including identifying and assessing problems and using sound judgment to generate and evaluate alternatives and to make recommendations. 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. Experience in setting and aligning goals, evaluating employee performance, assigning tasks, identifying training needs, and fostering a culture of collaboration. 2. Ability to architect comprehensive enterprise data strategies, establish governance frameworks, and enforce compliance applicable requirements. 3. Comprehensive knowledge of advanced analytics techniques, methods, tools, and languages necessary for data extraction, manipulation, and analysis such as Standard Query Language (SQL), open source languages such as R or Python, and Data Analysis Expressions (DAX). 4. Mastery-level ability to communicate complex technical and analytical findings to non-technical stakeholders and senior leadership. Education Education cannot be substituted for experience for this position and grade level. Foreign Education: Education completed in foreign colleges or universities may be used to meet education requirements if you can show that the foreign education is comparable to that received in an accredited educational institution in the United States. It is your responsibility to provide such evidence when applying. If you are using foreign education to meet qualification requirements, you must submit a Certificate of Foreign Equivalency with your transcript in order to receive credit for that education. For further information, please click Foreign Education.

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