Supv Forensic Data Analyst

Supervisors make decisions that impact the resources (people, budget, and material) of the work unit, ensure the technical quality and timeliness of the work produced by employees in the unit, and collaborate with supervisors across the organization in unstructured situations. Supervisors must supervise at least one government employee; they typically supervise between three to fifteen employees. 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: 1. Leadership experience, including managing and resolving cross-organizational or interpersonal conflicts, balancing competing priorities, and/or building consensus. 2. Experience acquiring data, performing data cleaning, ensuring data quality, and/or facilitating data access. 3. Experience with analytic abilities in fraud analytics, business analytics, and metrics. 4. Experience cultivating professional networks of peers internal and external to an organization to work collaboratively and accomplish shared goals. 5. Experience in creating and maintaining databases and data management software. EDUCATION REQUIREMENT: A. Education: Bachelor's degree from an accredited college or university in Accounting, Business Administration, Computer Science, Criminal Justice, Criminology, Mathematics, Police Science, Statistics, or a related field. -OR- B. Combination of Education and Experience: A minimum of 24 semester (36 quarter) hours of coursework in any area listed in option A, plus experience in qualitative and quantitative analysis or a related area 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 to 4 years. -OR- C. Experience: A minimum of 4 years of experience in qualitative and quantitative analysis or a related area that demonstrates the ability to successfully perform the duties associated with this work. DESIRABLE QUALIFICATION CRITERIA: In addition to the mandatory qualifications, experience in the following is desired: 1. Software experience in Tableau, Python, SQL, advanced Excel, Power Shell, Power Script, and/or AI computing. 2. Possess an active professional certification in fraud examination, such as a Certified Fraud Examiner (CFE), or an equivalent accredited professional credential. 3. Knowledge of implementing and using AI to enhance workflows, processes, and/or procedures. 4. Knowledge of CIGIE policies and standards, or experience working in an Inspector General office. 5. Possess an active Project Management Professional (PMP) certification, or an equivalent accredited project management credential. ADDITIONAL INFORMATION: This is a supervisory position in the OIG Management and Resources Division, reporting to the Assistant Inspector General for Management and Resources. The incumbent supervises a team of forensic data analysts responsible for OIG fraud analytics, business analytics, IT support to OIG, and the OIG corporate management system. Proactive fraud analytic projects include identifying potential violations of law and recognizing latent trends that lead to fraud detection using data science and analytic tools and capabilities. Results are provided to the separate OIG investigation, audit, and evaluation divisions through data analytics models with dashboard views. Business analytics projects include using statistical research methods and exploiting various software products and artificial intelligence (AI) to analyze historical data to gain new insight and improve strategic decision-making within OIG. Meaningful results derived from the analysis are portrayed through dynamic information graphics accurately depicting the story and allowing the decision-maker to easily understand what the data is telling them. The OIG Supervisory Forensic Data Analyst is also responsible for leading the collaboration with the other NGA OIG divisions to improve data collection, loading, validation and reconciliation, analysis, and reporting. They lead the preparation of reports and briefings that provide a sound basis for the restitution and recovery of NGA funds and oversee the collaboration with division experts to develop metrics that drive process improvements. They are also responsible for maintaining a corporate management tool housing OIG data and ensuring data integrity. Security clearance required: Sensitive Compartmented Information

Conditions of Employment SPECIAL INFO: As a condition of employment at NGA, persons being considered for employment must meet NGA fitness for employment standards. - U.S. Citizenship - Security Clearance - Top Secret /Sensitive Compartmented Information (SCI) - Polygraph & Drug Test - Direct Deposit - Trial Period during which we will evaluate your fitness and whether your continued employment advances the public interest. We may consider: performance conduct; needs and interests of the agency; and whether your continued employment would advance organizational goals of the agency or the Government and the efficiency of the Federal service SPECIAL REQUIREMENTS: You must be able to obtain and retain a Top Secret security clearance with access to SCI. In addition, you are subject to a Counterintelligence Polygraph examination in order to maintain access to Top Secret information. All employees are subject to a periodic examination on a random basis in order to determine continued eligibility. Refusal to take the examination may result in denial of access to Top Secret information, SAP, or unescorted access to SCIFs. Employees with SCI access and who are under NGA cognizance are required to submit a Security Financial Disclosure Report, SF-714, on an annual basis in order to determine continued eligibility. Failure to comply may negatively impact continued access to Top Secret information, Information Systems, SAP, or unescorted access to SCIFs. NGA utilizes all processes and procedures of the Defense Civilian Intelligence Personnel System (DCIPS). Non-executive NGA employees are assigned to five distinct pay bands based on the type and scope of work performed. The employee's base salary is established within their assigned pay band based on their unique qualifications. A performance pay process is conducted each year to determine a potential base pay salary increase and/or bonus. An employee's annual performance evaluation is a key factor in the performance pay process. This position is a DCIPS position in the Excepted Service under 10 U.S.C. 1601. DoD Components with DCIPS positions apply Veterans' Preference to preference eligible candidates as defined by Section 2108 of Title 5 USC, in accordance with the procedures provided in DoD Instruction 1400.25, Volume 2005, DCIPS Employment and Placement. If you are an external applicant claiming veterans' preference, as defined by Section 2108 of Title 5 U.S.C., you must self-identify your eligibility.