Supv Forensic Data Analyst
National Geospatial-Intelligence Agency · Multiple Locations
Skills in this posting
Extracted from the posting text by the instrument — the demand side, read literally.
The posting
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.
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.
Excerpt from the original listing. The full, current text lives at the source. Read and apply there →
The PivotHop read
- What a data analyst actually earnsmedian, seniority, by country
- Data Analyst career changes, measuredevery measured route out
- BI Developer → Data Analyst83% readiness
- Data Engineer → Data Analyst60% readiness
- Product Analyst → Data Analyst52% readiness
- All open data analyst rolesthe full board
Where these skills also reach
Adjacent occupations measured from the same postings — readiness is what a data analyst’s profile already covers.
- 33 open product analyst roles62% readiness from data analyst
- 21 open bi developer roles48% readiness from data analyst
- 250 open business analyst roles40% readiness from data analyst
- 250 open data engineer roles29% readiness from data analyst
More data analyst roles
- Senior Data Analyst (AI-Enabled Analytics) (all genders)Gotphoto · Berlin, Hybrid
- Marketing AnalystPergolux · Berlin | Global Team
- Revenue Data AnalystDoorDash · United States
- Data AnalystBH Properties · Philippines
- Financial & Data AnalystPavago · Colombia
Backfilled listing, refreshed with the nightly scrape; the employer has not claimed it yet. Are you the employer? Claim this listing and it can be featured to the candidates whose skills already reach it, first month free.