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Full Time Astronomy Data Analysis Jobs (NOW HIRING)

Robert Half

Data Analysis Manager

Washington, DC · On-site

$80K - $100K/yr

All interested candidates in the Data Analysis Manager opportunity and other full time opportunities in the Washington, D.C. area please send your resume to Justin Decker via LinkedIn • Bachelor ...

NIO

Data Analysis Intern

San Jose, CA

$38 - $46/hr

Curate, preprocess, and analyze training data for LLM projects * Assist in training, tuning, and ... The US base salary range for this full-time position is $38.00 - $46.00. * Within the range ...

NIO

Data Analysis Intern

San Jose, CA · On-site

$38 - $46/hr

Curate, preprocess, and analyze training data for LLM projects * Assist in training, tuning, and ... The US base salary range for this full-time position is $38.00 - $46.00. * Within the range ...

W. M. Keck Observatory

Staff Astronomer I

Kamuela, HI · On-site

$83K - $100K/yr

Observing Support Employment Type: Full Time Location: W.M. Keck Headquarters Reporting To: Jim ... and data analysis, instrumentation development, and independent research-creating a unique ...

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All JobsAstronomy Data Analysis JobsFull Time Astronomy Data Analysis Jobs

Full Time Astronomy Data Analysis information

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$10

$58

$83

How much do full time astronomy data analysis jobs pay per hour?

As of Jul 30, 2026, the average hourly pay for full time astronomy data analysis in the United States is $58.71, according to ZipRecruiter salary data. Most workers in this role earn between $52.64 and $68.27 per hour, depending on experience, location, and employer.

What is the difference between Full Time Astronomy Data Analysis vs Full Time Astrophysics Researcher?

AspectFull Time Astronomy Data AnalysisFull Time Astrophysics Researcher
Required CredentialsBachelor's or Master's in Astronomy, Physics, or related field; experience with data analysis toolsMaster's or PhD in Astrophysics or related field; strong research background
Work EnvironmentData centers, observatories, research institutions; focus on analyzing astronomical dataUniversities, research labs; focus on theoretical and experimental astrophysics
Employer & Industry UsageResearch institutions, space agencies, observatoriesUniversities, government research agencies, space agencies

Full Time Astronomy Data Analysis primarily involves processing and interpreting astronomical data using specialized software, often in research or observatory settings. In contrast, a Full Time Astrophysics Researcher focuses on developing theories, conducting experiments, and publishing scientific findings. Both roles require strong backgrounds in physics and astronomy, but their daily tasks and work environments differ significantly.

What cities are hiring for Full Time Astronomy Data Analysis jobs? Cities with the most Full Time Astronomy Data Analysis job openings:
What are the most commonly searched types of Astronomy Data Analysis jobs? The most popular types of Astronomy Data Analysis jobs are:
What states have the most Full Time Astronomy Data Analysis jobs? States with the most job openings for Full Time Astronomy Data Analysis jobs include:
Full Time Astronomy Data Analysis jobs near you
Infographic showing various Full Time Astronomy Data Analysis job openings in the United States as of July 2026, with employment types broken down into 85% Full Time, 13% Part Time, and 2% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $122,123 per year, or $58.7 per hour.

Undergraduate Intern - Quantitative Data & Finance (Cross-Disciplinary

Risk Analytics Company

Cambridge, MA

Full-time

Re-posted 26 days ago

Job description

Position Overview
We are seeking an undergraduate student to support our Finance and IT teams with a focus on data analysis and quantitative problem-solving. This internship provides hands-on experience working with financial datasets, basic modeling, and tools used in data-driven decision-making.
We welcome candidates from analytical and cross-disciplinary backgrounds—including mathematics, applied mathematics, statistics, economics, engineering, computer science, physics, astrophysics, quantum computing, biotech and other data-driven fields—who are interested in applying quantitative thinking to real-world business and financial problems.
Key Responsibilities
  • Work with structured datasets to support basic financial and operational analysis 
  • Assist in organizing, cleaning, and validating data for reporting and modeling 
  • Build and maintain spreadsheets and simple analytical models in Excel 
  • Support development of reports, dashboards, and visualizations 
  • Identify patterns, inconsistencies, or trends in data 
  • Assist with automation or efficiency improvements using tools like Excel, SQL, or Python (where applicable) 
  • Collaborate with team members on data, finance, and technology-related tasks 
  • Apply quantitative or analytical approaches from coursework to practical business problems 
Required Qualifications
  • Currently pursuing a Bachelor’s degree in a quantitative or analytical field (e.g., Mathematics, Applied Mathematics, Physics, Astrophysics, Statistics, Economics, Computer Science, Quantum Computing, Engineering, Finance, Biotech, or other data-driven discipline) 
  • Strong problem-solving and analytical thinking skills 
  • Familiarity with: 
    • Microsoft Excel (formulas, basic functions) 
    • Microsoft Office (Word, PowerPoint) 
  • Comfort working with numbers and structured data 
  • Strong attention to detail and willingness to learn 
Preferred Qualifications
  • Exposure to programming or data tools (Python, SQL, R, or similar) through coursework or projects 
  • Experience with Excel functions (e.g., VLOOKUP, pivot tables) 
  • Introductory knowledge of statistics, probability, or data analysis 
  • Interest in financial markets, data analytics, or fintech 
  • Coursework or projects involving: 
    • Data analysis or visualization
  • Mathematical modeling 
  • Machine learning (introductory) 
  • Computational or applied problem-solving 
What You’ll Gain
  • Hands-on experience applying quantitative skills in a real-world business environment 
  • Exposure to financial data, analytics workflows, and decision-making processes 
  • Opportunity to build foundational data and modeling skills 
  • Mentorship and professional development 
  • Insight into career paths in quantitative finance, data science, and analytics 
Internship Details
  • Summer 2026, with possible extension