Data Analyst

What You'll Do

• 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.
• 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.

Required Qualifications

• Education: Bachelor's Degree in Data Science, Statistics, Applied Mathematics, Computer Science, Operations Research, or a related quantitative discipline.
• Master's degree may substitute for up to two years of experience.
• Ph.D. may substitute for required experience.
• Experience: 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 & Skills

• 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.

Preferred Qualifications

• 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.

Preferred Technical Skills

• Python
• SQL
• Tableau
• Databricks
• Spark
• Data Visualization
• ETL Processes
• Agile Methodologies

Security Requirements

Active Top Secret security clearance required. Ability to obtain and maintain access to DHS and CBP systems and facilities.

Benefits

• 100% Employee-Owned (ESOP)
• Remote Work Flexibility
• Meaningful National Security Mission
• Exposure to Advanced Analytics and AI Technologies
• Career Growth and Professional Development
• Collaborative and Innovative Culture
• Competitive Compensation and Benefits

About the Role

Radiance Technologies is a 100% employee-owned company dedicated to solving complex national security challenges through innovation, technical excellence, and mission-focused solutions. Our employees work on meaningful programs while benefiting from a collaborative culture that supports professional growth and continuous learning.

Qualifications

Preserve ALL substantive information; do NOT invent or summarize away detail. Remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, and application instructions.

Skills

• 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.

Benefits

• 100% Employee-Owned (ESOP)
• Remote Work Flexibility
• Meaningful National Security Mission
• Exposure to Advanced Analytics and AI Technologies
• Career Growth and Professional Development
• Collaborative and Innovative Culture
• Competitive Compensation and Benefits