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
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Collaborate with Government stakeholders to elicit, analyze, document, and validate business, functional, and analytical requirements.
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Translate fraud detection, investigative, oversight, and program integrity objectives into user stories, acceptance criteria, business requirements, and technical artifacts.
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Support development and refinement of analytic use cases that leverage data science, machine learning, artificial intelligence (AI), graph analytics, dashboards, and investigative reporting.
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Facilitate requirements workshops, stakeholder meetings, backlog refinement sessions, sprint planning activities, demonstrations, and solution reviews.
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Document business processes, workflows, data flows, process improvements, and operational concepts supporting fraud analytics initiatives.
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Work closely with Data Scientists, Data Engineers, Graph Data Scientists, Investigative Analysts, and Forensic Accountants to clarify requirements and