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Overnight Remote Data Analyst Jobs (NOW HIRING)

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 ...

100% Remote Full-time Senior Analyst At NuView Analytics - we help companies accelerate the time to insights from their data. We do this in three ways - data analytics, data diligence, and fractional ...

Senior Data Analyst (Remote)

$88K - $111K/yr

Senior Data Analyst (Remote) Duration: 12 Months Location: Remote Only W2 candidates are eligible for this position. Third-party or C2C candidates will not be considered Work Arrangement * Remote ...

Data Analyst

Charlottesville, VA · On-site +1

$61K - $141K/yr

Data Analyst The Opportunity: As a Data Analyst, you'll apply your technical and analytical ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

Data Analyst

Springfield, VA · On-site +1

$62K - $141K/yr

R0233876 Data Analyst The Opportunity: The Data Analyst applies their technical and analytical ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

Data Analyst

Charlottesville, VA · On-site +1

$61K - $141K/yr

R0236319 Data Analyst The Opportunity: As a Data Analyst, you'll apply your technical and ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

Most of our positions are remote, providing flexibility while contributing to meaningful federal projects. Key Skills amp; Qualifications We're Looking For: * Data Analysis amp; Reporting: Experience ...

Remote Primary Responsibilities: * Be a key or core resource for complex issues, data discrepancies, and fire drills * Assesses and interprets customer requests for feasibility, priority, and ...

Data Analyst

Springfield, VA · On-site +1

$62K - $141K/yr

The Data Analyst applies their technical and analytical capabilities to support key business and ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

Sr. Data Analyst - Remote

Manhattan, NY · On-site +1

$94K - $119K/yr

Details: Sr. Data Analyst Duration: Full time / Direct Hire Location: 100% Remote but candidate must be in below states Will hire remote in CA, CT, FL, GA, IL, MD, NH, NJ, NY, NC, PA, TX, UT, WA, DC ...

Data Analyst

New York, NY · Remote

$55 - $60/hr

This is a remote opportunity. About this Position Join a fast-paced Product Operations team focused ... Analyze operational data to identify trends, risks, and improvement opportunities * Build and ...

Job Title- Data Analyst Strong Tableau Location- Remote Duration- 06 Months Contract Job I'd- UHGJP00097212 Job Details: What are the top 5-10 responsibilities for this position (please be detailed ...

If remote, Ideally, candidates will sit in the following states: AL, AZ, CA, CO, DC, DE, FL, GA, ID ... Requirements * 2 to 4 years in a data analyst or business intelligence role where you owned metrics ...

About the job Lead Data Analyst - Remote With us, you'll do meaningful work from Day 1. Our collaborative culture is built on three core behaviors: We Play to Win, We Get Better Every Day & We ...

If remote, Ideally, candidates will sit in the following states: AL, AZ, CA, CO, DC, DE, FL, GA, ID ... Requirements * 2 to 4 years in a data analyst or business intelligence role where you owned metrics ...

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Overnight Remote Data Analyst information

See salary details

$34K

$82.6K

$136K

How much do overnight remote data analyst jobs pay per year?

As of Jun 17, 2026, the average yearly pay for overnight remote data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is the difference between Overnight Remote Data Analyst vs Night Shift Data Analyst?

AspectOvernight Remote Data AnalystNight Shift Data Analyst
Work EnvironmentRemote, working overnight hoursOn-site or remote, working overnight hours
CredentialsTypically requires a degree in data analysis, statistics, or related fieldSimilar credentials, often with experience in data tools
Employer & IndustryTech, finance, healthcare companies with 24/7 operationsManufacturing, 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?

To thrive as an Overnight Remote Data Analyst, you need strong analytical skills, proficiency in statistical methods, and a relevant degree such as in data science, mathematics, or a related field. Familiarity with data analysis tools like SQL, Python, Excel, and visualization platforms such as Tableau, along with experience using remote collaboration systems, is typically required. Attention to detail, self-motivation, and effective written communication are crucial soft skills for succeeding in an independent, asynchronous work environment. These abilities ensure accurate data-driven insights, timely reporting, and reliable collaboration across global teams.

What are the unique challenges faced by overnight remote data analysts, and how can they effectively manage their workload and communication with daytime teams?

Overnight remote data analysts often work with limited real-time supervision and may encounter challenges such as delayed feedback, asynchronous communication, and adjusting to different time zones. To manage these challenges, it's important to establish clear handover procedures, use collaborative tools for documentation, and proactively communicate progress and roadblocks to daytime colleagues. Many organizations also encourage regular check-ins or scheduled overlap hours to ensure alignment and maintain team cohesion. Embracing these practices helps overnight analysts stay connected and productive, despite working non-traditional hours.

What does an Overnight Remote Data Analyst do?

An Overnight Remote Data Analyst is responsible for analyzing and interpreting data during nighttime hours, typically outside of regular business hours. This role involves collecting, cleaning, and processing data, generating reports, and providing insights to help organizations make data-driven decisions. Working remotely allows analysts to perform these tasks from anywhere, enabling companies to have 24/7 data coverage and faster turnaround on data projects. Key responsibilities may also include monitoring data pipelines, troubleshooting issues, and ensuring data quality throughout the night.
More about Overnight Remote Data Analyst jobs
What cities are hiring for Overnight Remote Data Analyst jobs? Cities with the most Overnight Remote Data Analyst job openings:
What are the most commonly searched types of Remote Data Analyst jobs? The most popular types of Remote Data Analyst jobs are:
What states have the most Overnight Remote Data Analyst jobs? States with the most job openings for Overnight Remote Data Analyst jobs include:
Infographic showing various Overnight Remote Data Analyst job openings in the United States as of June 2026, with employment types broken down into 73% Full Time, 11% Part Time, and 16% Contract. Highlights an 100% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Data Analyst

Full-time

Posted 6 days ago


Job description

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 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.