Advanced Trade Analytics Platform (ATAP) Remote (U.S.) Active Top Secret Clearance Required Use Data to Drive Mission Success Radiance Technologies is seeking a Data Analyst to support U.S. Customs ...
Advanced Trade Analytics Platform (ATAP) Remote (U.S.) Active Top Secret Clearance Required Use Data to Drive Mission Success Radiance Technologies is seeking a Data Analyst to support U.S. Customs ...
CUSTOMER_NAME ESSENTIAL_SKILL Real Title OPEN_POS CONTRACTOR_JC NVIDIA Corporation CDP AI/ML Data Analyst 1 1854662 Location: - Remote is fine - Person has to okey with PST working hours. The ...
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Overnight Remote Data Analyst information
See salary details
$34K - $43.3K
4% of jobs
$43.3K - $52.5K
7% of jobs
$52.5K - $61.8K
13% of jobs
$62.4K is the 25th percentile. Wages below this are outliers.
$61.8K - $71.1K
18% of jobs
The median wage is $75.4K / yr.
$71.1K - $80.4K
16% of jobs
$80.4K - $89.6K
13% of jobs
$93.1K is the 75th percentile. Wages above this are outliers.
$89.6K - $98.9K
9% of jobs
$98.9K - $108.2K
5% of jobs
$108.2K - $117.5K
9% of jobs
$117.5K - $126.7K
3% of jobs
$126.7K - $136K
2% of jobs
$34K
$82.6K
$136K
How much do overnight remote data analyst jobs pay per year?
What is the difference between Overnight Remote Data Analyst vs Night Shift Data Analyst?
| Aspect | Overnight Remote Data Analyst | Night Shift Data Analyst |
|---|---|---|
| Work Environment | Remote, working overnight hours | On-site or remote, working overnight hours |
| Credentials | Typically requires a degree in data analysis, statistics, or related field | Similar credentials, often with experience in data tools |
| Employer & Industry | Tech, finance, healthcare companies with 24/7 operations | Manufacturing, customer service, or healthcare sectors with night shifts |
The main difference is that the Overnight Remote Data Analyst works exclusively from home during overnight hours, while the Night Shift Data Analyst may work on-site or remotely during night shifts. Both roles require similar skills and credentials, but their work environments and industry applications can differ.
What are the key skills and qualifications needed to thrive as an Overnight Remote Data Analyst, and why are they important?
What are the unique challenges faced by overnight remote data analysts, and how can they effectively manage their workload and communication with daytime teams?
What does an Overnight Remote Data Analyst do?

Job description
Remote (U.S.)
Active Top Secret Clearance Required
Use Data to Drive Mission Success
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.
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.
- 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.
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
- Power BI
- 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.
Why Radiance?
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.
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
Join Radiance Technologies and help transform data into mission success.
Radiance Technologies is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.