Data Analyst

Data AnalystRequired Skills & Experience• Bachelors degree • 3+ years of Data Analytics experience • Demonstrated experience using Tableau & Microsoft Power BI • Active CBP BI, ICE Public Trust or TS ClearanceJob Description: We are looking to add to our team of Data Analysts supporting U.S. Customs and Border Protection (CBP). On this project we provide management consulting services to support the Investment Analysis Office (IAO) with management consulting services in digital transformation, data analytics and visualization. The Data Analyst support data-informed decision-making through data collection, management, analysis, and visualization. Responsibilities include integrating, validating, and analyzing data from multiple sources; developing dashboards, reports, scorecards, and visualizations using Tableau, Microsoft Power BI, etc; and identifying trends, patterns, and performance insights that support mission and operational objectives. The is a hybrid role located in DC at CBP offices in National Place and the Ronald Reagan Building onsite 2-3 days/ week with flexibility.Day to Day: • Lead and perform data-driven studies, assessments, and research to inform decision-making, resource allocation, and operational improvement. • Apply quantitative and qualitative analytical methods, statistical techniques, modeling, simulation, and risk, cost, and benefit analyses to address operational and technical challenges. • Collect, analyze, and visualize data to identify trends, relationships, performance drivers, and actionable insights. • Develop and apply predictive, mathematical, and optimization models to support planning, policy development, and management decision-making. • Design, tailor, and implement decision-support tools, analytics solutions, and process improvement approaches to enhance organizational effectiveness and efficiency. • Conduct trade-off, operational, and systems analyses to support requirements development, acquisitions, and lifecycle management. • Establish and evaluate performance metrics, key indicators, and analytical frameworks that account for operational, technical, cost, feasibility, and risk considerations. • Apply industry best practices, maturity models, Six Sigma, and DMAIC methodologies to improve performance and analytical rigor. • Develop reports, dashboards, visualizations, presentations, and executive-ready recommendations that communicate findings and support stakeholder decision-making. • Support knowledge transfer and training activities to promote data-informed operations and continuous improvement.