Data Analyst

Radiance Technologies•AL - Home, AL

12d•Remote

About The Position

Radiance Technologies is seeking a Data Analyst to support U.S. Customs and Border Protection's (CBP) Advanced Trade Analytics Platform (ATAP). In this role, you will work alongside data scientists, engineers, and mission stakeholders to analyze data, develop reports, support analytical models, and provide actionable insights that support national security and trade enforcement missions. This position offers the opportunity to work with large-scale datasets, modern analytics technologies, and mission-critical programs that directly impact CBP operations.

Requirements

Bachelor's degree in: Data Science, Statistics, Applied Mathematics, Computer Science, Operations Research, Or a related quantitative discipline
Five (5) years of experience in applied research, big data analytics, statistics, data science, computer science, operations research, or related quantitative disciplines.
Two (2) years supporting applied data science research or big data analytics.
Experience preparing, analyzing, and managing large datasets.
Experience developing reports, analyses, and recommendations for stakeholders.
Knowledge of data mining, databases, data visualization, and machine learning concepts.
Ability to communicate analytical findings to technical and non-technical audiences.
Strong analytical, problem-solving, and critical-thinking skills.
Experience developing data-driven reports and visualizations.
Active Top Secret security clearance required.
Ability to obtain and maintain access to DHS and CBP systems and facilities.

Nice To Haves

Experience supporting CBP, DHS, defense, intelligence, law enforcement, or trade-related programs.
Experience with trade analytics, compliance monitoring, fraud detection, risk scoring, or investigative analytics.
Familiarity with Databricks, Spark, AWS GovCloud, Azure Government, or cloud-based analytics environments.
Experience supporting AI/ML initiatives and advanced analytics programs.
Python
SQL
Power BI
Tableau
Databricks
Spark
Data Visualization
ETL Processes
Agile Methodologies

Responsibilities

Perform data mining, data preparation, analysis, and reporting activities.
Conduct studies, assessments, and analytical reviews to support customer requirements.
Evaluate data quality, accuracy, and completeness to support sound decision-making.
Develop reports, dashboards, visualizations, and analytical products.
Prepare and organize datasets for analytical and modeling activities.
Support implementation of data models and analytical solutions.
Provide database and data management support.
Document findings and present recommendations to stakeholders.
Collaborate with data scientists, engineers, and customers to address mission challenges.
Identify opportunities for process improvement and automation.
Participate in Agile project activities and team collaboration efforts.