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Physics Data Analyst Jobs in Virginia (NOW HIRING)

In this role, you will leverage data analytics, business intelligence, and reporting expertise to ... Physics, or a related field. Will consider an additional four years of professional relevant work ...

Data Analyst

Alexandria, VA · On-site

$99K - $144K/yr

In this role, you will leverage data analytics, business intelligence, and reporting expertise to ... Physics, or a related field. Will consider an additional four years of professional relevant work ...

Measures, analyzes, and documents radiological physics data to support the clinical application of ... Strong analytical and problem-solving abilities. Demonstrated ability to exercise independent ...

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Physics Data Analyst information

See Virginia salary details

$33.7K

$81.9K

$134.8K

How much do physics data analyst jobs pay per year?

As of Jul 27, 2026, the average yearly pay for physics data analyst in Virginia is $81,931.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,000.00 and $96,200.00 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.
What cities in Virginia are hiring for Physics Data Analyst jobs? Cities in Virginia with the most Physics Data Analyst job openings:
Infographic showing various Physics Data Analyst job openings in Virginia as of July 2026, with employment types broken down into 100% Full Time. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $81,931 per year, or $39.4 per hour.

Other

Posted 17 days ago


Job description

Position Overview

ANSER is seeking a skilled Data Analyst to support an Office of the Secretary of War (OSW) client. In this role, you will leverage data analytics, business intelligence, and reporting expertise to support strategic decision-making, improve compensation programs, and enhance workforce visibility and insights across the Department of War (DoW).

 Day to Day Responsibilities

  • Support the development and sustainment of an Advana dashboard integrating data across multiple systems.
  • Support monthly and quarterly data collection efforts and deliver program metric briefings to senior DoW leadership using real-time dashboards.
  • Develop within the Advana platform using tools and technologies such as Databricks, Tableau, SQL, Python, Java, Qlik, or similar data science and engineering languages.
  • Design, develop, and maintain QlikView and Qlik Sense applications, dashboards, and reports supporting the Advana technology platform.
  • Support data ingestion, cleansing, transformation, and loading activities within Advana.
  • Collaborate with internal and external stakeholders to address DoW CIO data and reporting requirements.
  • Develop and maintain program documentation, including procedural guides and platform architecture design documents.
  • Troubleshoot and resolve Advana-related technical and reporting issues.

Required Qualifications

  • Active Secret security clearance
  • Bachelor's degree in a technical discipline such as Computer Science, Information Systems, Engineering, Mathematics, Physics, or a related field.  Will consider an additional four years of professional relevant work experience in lieu of degree.
  •  Five (5) years of professional experience in a relevant role.
  • Demonstrated understanding of data security principles, data management practices, ETL (Extract, Transform, Load) processes, and data integration best practices.
  • Experience supporting the development and sustainment of the Advana technology platform, including dashboard development and customization.
  • Ability to present analytical findings in a clear, concise, and executive-level format to senior leadership to support strategic decision-making.
  • Must currently live within a reasonable commutable distance (50 miles) from Alexandria, VA (place of work). This position is not open to relocation.  Only candidates within a reasonable commuting distance will be considered.

 Preferred Qualifications

  • Active Top Secret security clearance.