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Business Analyst; Fraud Analytics & Investigative Support

Job in Fairfax, Fairfax County, Virginia, 22032, USA
Listing for: Praescient Analytics
Full Time position
Listed on 2026-07-03
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems & Technology Analysis
Salary/Wage Range or Industry Benchmark: 70000 - 100000 USD Yearly USD 70000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Business Analyst (Fraud Analytics & Investigative Support)

Location: Remote (Occasional Travel May Be Required)
Clearance: Ability to obtain and maintain a Public Trust

Position Overview

Praescient Analytics is seeking an experienced Business Analyst to support advanced fraud analytics and investigative initiatives for a federal oversight organization. This individual will serve as the bridge between Government stakeholders and multidisciplinary technical teams by gathering requirements, documenting investigative and analytical use cases, and translating mission objectives into actionable technical requirements.

Working closely with Project Managers, Data Scientists, Data Engineers, Investigative Analysts, Forensic Accountants, and Government stakeholders, the Business Analyst will ensure analytical solutions align with operational priorities, support fraud detection and program integrity objectives, and deliver meaningful value to investigators and oversight organizations.

The ideal candidate combines strong business analysis skills with an understanding of data analytics, investigative workflows, and Agile delivery practices. They are comfortable engaging both technical and non‑technical audiences and enjoy transforming complex mission needs into clear, well‑defined requirements that enable successful solution delivery.

Key Responsibilities
  • Collaborate with Government stakeholders to elicit, analyze, document, and validate business, functional, and analytical requirements.
  • Translate fraud detection, investigative, oversight, and program integrity objectives into user stories, acceptance criteria, business requirements, and technical artifacts.
  • Support development and refinement of analytic use cases that leverage data science, machine learning, AI, graph analytics, dashboards, and investigative reporting.
  • Facilitate requirements workshops, stakeholder meetings, backlog refinement sessions, sprint planning activities, demonstrations, and solution reviews.
  • Document business processes, workflows, data flows, process improvements, and operational concepts supporting fraud analytics initiatives.
  • Work closely with Data Scientists, Data Engineers, Graph Data Scientists, Investigative Analysts, and Forensic Accountants to clarify requirements and ensure technical solutions align with mission objectives.
  • Maintain requirements traceability throughout the project lifecycle and verify delivered capabilities satisfy stakeholder expectations.
  • Prepare project documentation, meeting summaries, decision logs, implementation plans, status reports, briefing materials, and stakeholder‑ready deliverables.
  • Support quality assurance activities by reviewing deliverables for completeness, consistency, and alignment with documented requirements.
  • Assist in evaluating data sources, analytical capabilities, commercial tools, and technology solutions that support fraud detection and investigative missions.
Required Qualifications
  • Three (3) or more years of experience as a Business Analyst, Product Analyst, Requirements Analyst, Data Analyst, or similar role supporting analytics, data‑driven solutions, or government technology programs.
  • Must have experience with Fraud Analysis.
  • Experience gathering, documenting, and managing business and functional requirements for technical or analytical solutions.
  • Experience developing user stories, acceptance criteria, business process documentation, workflows, and other project artifacts.
  • Experience supporting Agile software development or analytics teams through sprint planning, backlog management, demonstrations, and iterative solution delivery.
  • Strong organizational skills with the ability to manage multiple priorities while coordinating across technical and business stakeholders.
  • Excellent written and verbal communication skills, including the ability to communicate complex analytical concepts to both technical and non‑technical audiences.
  • Strong analytical thinking, problem‑solving, and facilitation skills.
Preferred Qualifications
  • Supporting fraud detection, fraud prevention, financial crimes, program integrity, investigative support, or government oversight initiatives.
  • Working with federal benefit programs, grants, loans, healthcare, unemployment…
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