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Physics Data Analyst Jobs (NOW HIRING)

D&G Solutions

Data Analyst - Journeyman

Bellevue, NE · On-site

Required : • A bachelor's degree or higher in Data Science, Computer Science, Data Analytics, Business Analytics, Management Information Systems, Statistics, Applied Mathematics, Applied Physics ...

APEX TK LLC

Senior Signature/Data Analyst

Huntsville, AL · On-site

$130K - $150K/yr

General Overview APEX TK is looking for an amazing Senior Signature/Data Analyst to join our team ... S. in Engineering or Physics * Active Security Clearance desired. * Experience working ...

APEX TK

Senior Signature/Data Analyst

Huntsville, AL · On-site

$130K - $150K/yr

General Overview APEX TK is looking for an amazing Senior Signature/Data Analyst to join our team ... S. in Engineering or Physics * Active Security Clearance desired. * Experience working ...

Everest

Data Analyst - Data & Analytics

Warren, NJ · Hybrid

$88K - $125K/yr

Bachelor's degree in Computer Science, Mathematics, Physics, or a related technical field * 3+ years of experience in data analytics or a related role * Strong understanding of core data concepts ...

Everest

Data Analyst - Data & Analytics

New York, NY · Hybrid

$88K - $125K/yr

Bachelor's degree in Computer Science, Mathematics, Physics, or a related technical field * 3+ years of experience in data analytics or a related role * Strong understanding of core data concepts ...

Houston Methodist

Bachelor's degree in computer science, engineering, math, physics or related field EXPERIENCE * Three years in data analysis, preferably in a healthcare/research setting SKILLS AND ABILITIES

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Physics Data Analyst information

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$34K

$82.6K

$136K

How much do physics data analyst jobs pay per year?

As of Jul 5, 2026, the average yearly pay for physics 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 40 too late for data science?

A Physics Data Analyst can transition into data science at any age, including 40, as the field values skills like programming, statistical analysis, and problem-solving. Many professionals successfully switch careers later in life by gaining relevant certifications and experience, making age less of a barrier in data science roles.

Does a data analyst require physics?

A physics data analyst typically needs a strong understanding of physics principles to interpret scientific data accurately. Skills in data analysis tools like Python or R, along with knowledge of statistical methods, are also essential; formal physics education can be beneficial but is not always mandatory depending on the industry and specific role.

What does a Physics Data Analyst do?

A Physics Data Analyst collects, processes, and interprets large sets of data generated from physics experiments or simulations. They use statistical methods, programming, and specialized software to extract meaningful insights and support scientific research. Their work often involves cleaning data, identifying trends, creating visualizations, and collaborating with physicists to draw conclusions that can advance understanding in areas such as particle physics, astrophysics, or materials science.

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

To thrive as a Physics Data Analyst, you need a solid background in physics, mathematics, and statistical analysis, often supported by a degree in physics or a related field. Proficiency with programming languages like Python or MATLAB, data visualization tools, and familiarity with statistical software and databases are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you interpret complex datasets and share insights with diverse teams. These skills ensure accurate analysis, meaningful data-driven conclusions, and successful collaboration in research or industry environments.

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

AspectPhysics Data AnalystData Scientist
Required CredentialsBachelor's or Master's in Physics, Data Analysis, or related fieldsBachelor's or Master's in Computer Science, Statistics, or related fields
Work EnvironmentResearch labs, scientific organizations, industry R&DTech companies, finance, healthcare, consulting
Employer & Industry UsageResearch institutions, aerospace, energyTech firms, finance, marketing
Common Search & ComparisonPhysics Data Analyst vs Data Scientist

The main difference between a Physics Data Analyst and a Data Scientist lies in their focus and industry. Physics Data Analysts typically work in research or scientific environments, applying physics principles to analyze data. Data Scientists have a broader scope, often working across industries like tech, finance, and healthcare, utilizing advanced statistical and machine learning techniques. Both roles require strong analytical skills, but their applications and work settings differ.

What are some common challenges Physics Data Analysts face when interpreting experimental data?

Physics Data Analysts often work with large, complex datasets that may contain noise or inconsistencies due to experimental limitations. One common challenge is accurately distinguishing between meaningful patterns and random fluctuations, which requires strong statistical knowledge and experience with data-cleaning techniques. Additionally, analysts must frequently collaborate with physicists and engineers to understand the context of the data and ensure proper interpretation, making strong communication skills important. Overcoming these challenges involves continually updating technical skills and staying current with best practices in both physics and data analysis.

Does NASA hire data scientists?

NASA employs data scientists and data analysts to support research, mission planning, and data management. These roles often require skills in programming, statistical analysis, and experience with tools like Python, R, or SQL. Job opportunities are typically listed on NASA's official careers website and may require security clearances or specialized training.

Can data scientists make $300k?

Data scientists, including those with specialized skills like physics data analysis, can earn $300,000 or more annually, especially with extensive experience, advanced expertise, or in high-paying industries such as finance or technology. Achieving this level often requires strong programming skills, advanced degrees, and a track record of impactful work.
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What job categories do people searching Physics Data Analyst jobs look for? The top searched job categories for Physics Data Analyst jobs are:
Physics Data Analyst jobs near you
Infographic showing various Physics Data Analyst job openings in the United States as of June 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Biosensor Data Analyst

Biosensor Data Analyst

Odyssey Systems LLC

Lexington, MA

Other

Posted 18 days ago

Job description

The Human Health & Performance Systems Group focuses on objective, technology-based human-centered solutions to measure, model and modify cognitive and physiological function for enhancement, sustainment, or recovery. This goal is accomplished through three broad technical areas: health and resilience monitoring, trauma care, and performance enhancement. Research in all areas includes capability gap analysis, advanced sensing, machine learning, and artificial intelligence algorithms, biologically-based modeling, prototyping, system integration, and field testing of systems to monitor the human state, predict outcomes, and intervene to improve health and performance.

Typical goals include increasing physical, cognitive and psychological performance and resilience of end-users in their operational environments; measuring, modeling, and modifying the brain to mitigate neurotrauma and neurodegeneration of end-users after exposure; and developing human-machine interfaces for enhanced end-user performance and communication within groups. This highly interdisciplinary group draws on skills from biology, physiology, cognitive science, neuroscience, psychology, biosignal processing, engineering, machine learning and artificial intelligence, computer science, physics, and medical research areas. Primary government sponsors and partners are in the Departments of Defense, Veterans Affairs, Homeland Security, NASA, the National Institutes of Health, and the National Science Foundation.

Odyssey Systems needs a Biosensor Data Analyst to analyze biosensor data and to assist in developing and assessing biosignal processing algorithms

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