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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 ...

Data Analyst [Remote] Job Overview: We are seeking a talented and experienced Data Analyst to join our team on a full-time basis. As a Data Analyst, you will be responsible for collecting, organizing ...

Data Analyst

$80K - $100K/yr

Remote Work Location Type: Remote WHO WE ARE AND WHAT WE DO: Radiology Partners, through its ... Profile, analyze, and remediate data quality issues across master data domains through root cause ...

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 ...

This is a remote full-time post with lots of possibilities for advancement. By means of data exploration and analysis, we can go through large databases in search of correlations, anomalies, trends ...

About the Role Teramind is seeking a Data Analyst to own business intelligence reporting and ... To us, remote work means flexibility and having truly diverse, global teams. Additionally: • ...

Data Analyst

Dallas, TX · Remote

$23.50 - $30.50/hr

This is a remote role strictly for candidates within the United States. Position Overview: As a Data Analyst at Orionyx Engineering Ltd. , you will play a pivotal role in transforming data into ...

About the Role Teramind is seeking a Data Analyst to own business intelligence reporting and ... To us, remote work means flexibility and having truly diverse, global teams. Additionally: • ...

Data Analyst

Dayton, OH · On-site +1

$61K - $141K/yr

Remote Work: No Job Number: R0241818 Location: Dayton,OH,US Share job via: Share Data Analyst The Opportunity: The Data Analyst applies their technical and analytical capabilities to support key ...

Data Analyst

$72K - $85K/yr

Job Type Full-time Description ABOUT THE ROLE The Data Analyst will support the Insights ... Desire and ability to work in a fast-paced, entrepreneurial, fully remote environment * Commitment ...

Data Analyst, Pharmaceutical Industry Job Details : 90%remote position forUS FT Perm W2 employee Travel Requirements: up to 10% domestic travel each year forcompany events and socials Time Zone ...

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 ...

Data Analyst

New York, NY · On-site +1

$85K - $95K/yr

Data Analyst Location: Atlanta, GA | NYC, NY | Remote, USA Employment Type: Full-time, Salaried Who We Are Impiricus is the first and only AI-powered HCP Engagement Engine. In 2025, Deloitte named ...

Remote Data Entry Clerk

$17.50 - $23.25/hr

Develop and refine data management workflows for efficiency Perform complex data analysis and ... This fully remote position offers flexible hours, perfect for self-motivated individuals who excel ...

Data Analyst Location: Pensacola, FL Type: Contract Work Model ... Hybrid - onsite and remote Responsibilities • Contribute to the development of technical ...

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Remote DATA Analyst information

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$34K

$82.6K

$136K

How much do remote data analyst jobs pay per year?

As of Jul 24, 2026, the average yearly pay for 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.

Is there a high demand for data analysts?

The demand for data analysts remains strong across various industries due to the increasing reliance on data-driven decision making. Organizations seek professionals skilled in data visualization, statistical analysis, and tools like Excel, SQL, and Python, leading to steady job growth in this field.

What are the key skills and qualifications needed to thrive as a Remote Data Analyst, and why are they important?

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a degree in a quantitative field such as mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and visualization platforms such as Tableau or Power BI is typically required. Excellent communication, self-motivation, and time management are crucial soft skills for collaborating remotely and presenting insights effectively. These skills ensure accurate data-driven decision-making and effective remote teamwork in a digital work environment.

Can I do a data analyst job remotely?

Yes, many data analyst positions are available for remote work, especially those that involve analyzing data, creating reports, and using tools like Excel, SQL, and data visualization software. Remote data analysts typically need strong communication skills and proficiency with relevant software to collaborate effectively with teams online.

Is 40 too late for data science?

For a remote data analyst role, age is generally not a barrier; many professionals transition into data science or analytics later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and tools like SQL or Python, regardless of age. Continuous learning and building a strong portfolio can help late entrants compete effectively in the field.

How do Remote Data Analysts typically collaborate with team members and stakeholders given the virtual work environment?

Remote Data Analysts often rely on digital communication tools such as Slack, Microsoft Teams, and Zoom to stay connected with colleagues and stakeholders. They participate in regular virtual meetings, share dashboards or reports via cloud-based platforms, and provide data-driven insights to support decision-making. Successful remote analysts proactively communicate their findings, clarify requirements, and coordinate with cross-functional teams such as IT, marketing, or finance to ensure alignment on project goals and deliverables.

What does a Remote Data Analyst do?

A Remote Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions, all while working from a location outside of a traditional office. They use statistical tools and software to interpret complex datasets, identify trends, and generate reports. Remote Data Analysts collaborate with team members via digital communication platforms and often present their findings to stakeholders to guide strategy and operations. Their work is essential in industries such as finance, healthcare, marketing, and technology, where data-driven decisions are crucial.

What is the difference between Remote Data Analyst vs Remote Data Scientist?

AspectRemote Data AnalystRemote Data Scientist
Required CredentialsBachelor's in Data, Statistics, or related field; often certifications in Excel, SQL, or TableauBachelor's or Master's in Data Science, Computer Science, or related; certifications in Python, R, machine learning
Work EnvironmentPrimarily office-based or remote, focusing on data analysis and reportingPrimarily remote, involving complex data modeling and predictive analytics
Employer & Industry UsageUsed across finance, marketing, healthcare, and retail sectorsCommon in tech, finance, and research industries

Remote Data Analysts focus on interpreting data, creating reports, and supporting decision-making, while Remote Data Scientists develop models, perform advanced analytics, and work on predictive insights. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and machine learning.

Will AI replace data analyst?

AI tools can automate routine data processing and analysis tasks, but the role of a data analyst involves interpreting insights, understanding context, and communicating findings, which currently require human judgment. Data analysts will likely evolve to work alongside AI, focusing more on complex analysis, strategy, and decision-making that AI cannot fully replicate.

What Does a Remote Data Analyst Do?

Remote data analysts use a range of methods to chart, examine, and analyze data for their clients. Unlike in-house data analysts, remote data analysts, work from home or a different location outside of the office. As a remote data analyst, your job is to evaluate a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. Once the analysis is complete, you create reports for management to use to make critical decisions; this is why remote data analysts need to confirm the accuracy of the data. You may also need to present your reports to stakeholders.

What cities are hiring for Remote Data Analyst jobs? Cities with the most Remote Data Analyst job openings:
What are the most commonly searched types of Data Analyst jobs? The most popular types of Data Analyst jobs are:
Who are the top companies hiring for Remote Data Analyst jobs? The top employers for Remote Data Analyst jobs are:
What states have the most Remote Data Analyst jobs? States with the most job openings for Remote Data Analyst jobs include:
Infographic showing various Remote Data Analyst job openings in the United States as of July 2026, with employment types broken down into 89% Full Time, 6% Part Time, 1% Temporary, and 4% Contract. Highlights an 83% Physical, 7% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Data Analyst

Full-time

Posted 12 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.