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Develops and maintains dashboards, reports, and visualizations; analyzes multi-source data to identify trends and actionable insights; translates stakeholder needs into analytical solutions; supports recurring and ad hoc reporting; presents findings to technical and non-technical audiences; and collaborates with federal client stakeholders to improve analytics workflows and decision support.

Design, build, and maintain enterprise Power BI dashboards, data models, and ETL workflows. Perform statistical and geospatial analyses, ensure data quality and governance, translate stakeholder needs into KPIs and reports, mentor junior analysts, and present insights to technical and non-technical audiences to support public health and government programs.

Support fraud analytics by preparing and validating data, performing statistical and pattern analysis, documenting methods, and producing reports and dashboards. Coordinate with technical teams and stakeholders to support recurring and ad hoc fraud detection and investigative tasks.

Build, validate, and deploy statistical and machine learning models for Navy logistics, maintenance, and readiness. Perform EDA, create dashboards (Qlik), operationalize models with engineers, monitor performance, and document methodologies to support defense clients.

Support a federal automation program by gathering and documenting requirements, coordinating UAT and testing, evaluating workflows and data, creating SOPs and training, managing change requests and SharePoint records, and communicating with technical and business stakeholders.

The Business Financial Manager will support program leadership in budgetary processes, including analysis, tracking financial commitments, and managing contracts for DARPA projects.

Develop and implement Microsoft Power Platform solutions across discovery, design, development, testing, deployment, training, and support. Build Canvas and model-driven Power Apps, automate processes with Power Automate, and deliver Power BI, SharePoint, Dataverse, Fabric, and data integration solutions. Serve as a technical SME, establish implementation standards, manage governance and security, collaborate with stakeholders and QA teams, resolve production issues, and present solutions to technical and executive audiences.

Supports DHS clients through data science consulting, including dashboard and visualization development in Tableau, data cleaning with R and Python, analytics solution maintenance, reporting, predictive analytics, and ad hoc analysis. The role also involves client communication, business development support, and explaining technical concepts to nontechnical audiences.

Lead workforce transformation workstreams for the U.S. Secret Service, supporting strategic human capital and growth plans. Analyze workforce data, develop metrics, shape hiring and retention strategies, facilitate stakeholder discussions, prepare leadership briefings, and manage concurrent consulting assignments. The role requires experience leading workforce transformation efforts, directing teams, analyzing human capital trends, and supporting implementation planning and stakeholder engagement.

Develop data science and AI/ML solutions for federal clients using Python, SQL, LLMs, Databricks, and cloud platforms. Responsibilities include data wrangling, model development and deployment, client requirement gathering, technical communication, solution design, and business development support. The role requires an active Secret clearance and collaboration with technical and non-technical stakeholders across remote, hybrid, or onsite Washington, D.C.-area projects.