Business Analyst (Fraud Analytics & Investigative Support)
About The Position
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.
Requirements
- 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.
- US Citizenship Required
- Ability to obtain and maintain a Public Trust Clearance
Nice To Haves
- Demonstrated experience in supporting fraud detection, fraud prevention, financial crimes, program integrity, investigative support, or government oversight initiatives.
- Experience working with federal benefit programs, grants, loans, healthcare, unemployment insurance, emergency assistance, disaster relief, or other large-scale public-sector programs.
- Experience collaborating with Offices of Inspector General (OIGs), law enforcement organizations, auditors, investigators, or government oversight stakeholders.
- Experience supporting multidisciplinary delivery teams that include Data Scientists, Data Engineers, Investigative Analysts, Forensic Accountants, and Project Managers.
- Experience with analytics, business intelligence, machine learning, artificial intelligence (AI), graph analytics, dashboards, or data visualization projects.
- Understanding of data sources, data quality, ETL processes, cloud analytics environments, and enterprise data management concepts.
- Experience utilizing collaboration and project management tools such as Jira, Azure DevOps, Confluence, Microsoft Teams, SharePoint, Power BI, SQL, or comparable platforms.
- Experience supporting enterprise data governance, data privacy, information sensitivity, and secure handling of government or investigative information.
- Experience preparing executive briefings, requirements documentation, implementation plans, process flows, and stakeholder-facing communications for Government customers.
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, artificial intelligence (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.
Benefits
- Competitive salary based on qualifications and experience
- Comprehensive, Company paid healthcare for you (We pay your premiums and deductibles)
- 401(k) with company match
- Travel & performance incentives
- 3 weeks paid time off (plus Federal Holidays)
- $5K annual training allowance
- $500 book allowance
- Tuition reimbursement program
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
