Customs and Border Patrol- Data Analyst

U.S. Customs and Border Protection (CBP) requires technical and subject matter expertise in the areas of financial and workforce modeling, business transformation, advanced data analytics, and strategy. While specific assignments will vary depending on staffing needs, examples of projects include the following:

• Integrate data sets across multiple platforms that lead to a comprehensive view of workforce data and trends and inform recruitment and retention initiatives, programs, and policies.

• Develop analytical models and support data visualization to enhance analytic capabilities, improve access to data, and improve collaboration and information management.

• Collect and analyze staffing and workload data to create workload staffing model that calculates and visualizes staffing gaps to support future resource requests.

• Build and maintain dashboards that report on mission-critical activities and improve standardization, communication, and priority alignment to streamline reporting.

Responsibilities:

• Supports the analysis, assessments, surveys, or other research to address a wide range of challenges by applying appropriate analytical principles, approaches, methodologies, and techniques, in order to develop a sound basis for decision-making or resource allocation.

• Recommends and applies appropriate mathematical, statistical, economic, and/or engineering methods, along with complex analytic, modeling, simulation, and measuring techniques, toward the conduct of operational and technical analyses and related benefit, cost, and risk assessments.

• Gathers and analyzes quantitative, qualitative, and other data; identifies relationships, sensitivities, and trends; and develops insights and recommendations based on substantiated findings.

• Formulates and applies mathematical models and other optimization methods to interpret and apply information to assist management in decision-making, policy formulation, operations planning, or other managerial functions.

• Applies system engineering (non-IT) theory and principles to problems of process or production, with the goal of enhancing effectiveness or efficiency outcomes.

• Performs analyses and trade-off studies related to operational requirements or systems development; supports the life cycle development and acquisition of systems and technologies with appropriate analysis.

• Ensures metrics and performance parameters considered in analysis appropriately reflect operational, technical, feasibility, cost, and risk requirements, conditions, and sensitivities.

• Assists with the development of training for operational personnel.

• Assists with the creation of reportable milestones and provides analysis for status reports and presentations for colleagues, subordinates, and supported organization representatives.

Qualifications:

• Active CBP clearance or equivalent

• 3+ years of experience in data analysis, data management, or business intelligence.

• Bachelor's degree in Data Science, Statistics, Computer Science, Information Systems, Finance, Accounting, or a related field. Master's degree is a plus.

• Experience with data modeling, database integration, and automation of data processes.

• Familiarity with SQL and other querying languages to extract, manipulate, and analyze data.

• Experience with data visualization tools (Tableau, Power BI, Looker, etc.) and developing reports/dashboards.

• Proficiency in data manipulation tools and languages (e.g., SQL, Python, R).

Salary: 60K + to align with education and experience