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Astronomy Data Analysis Jobs (NOW HIRING)

Caltech

Application Developer

Pasadena, CA · On-site

... astronomy data! AstroFetch uses large language models to translate natural-language questions into database queries, data analysis, and visualizations. The application is a working prototype built ...

aui

Software Engineer III - UPDATED

Green Bank, WV · On-site +1

$46.75 - $63/hr

This role will prototype, develop, benchmark and optimize the Radio Astronomy Data Processing ... analysis and algorithmic design through implementation, testing, optimization, and long-term ...

aui

Software Engineer III - UPDATED

Green Bank, WV · On-site +1

$46.75 - $63/hr

This role will prototype, develop, benchmark and optimize the Radio Astronomy Data Processing ... analysis and algorithmic design through implementation, testing, optimization, and long-term ...

Varsity Tutors

Astronomy Tutor

Mount Vernon, NY · Remote

$40/hr

What We Look For In a Astronomy Tutor * Advanced Subject Mastery: Deep knowledge of celestial ... analyzing light curves, and understanding redshift data. Emphasizes quantitative reasoning about ...

Varsity Tutors

Astronomy Tutor

Stillwater, OK · Remote

$40/hr

What We Look For In a Astronomy Tutor * Advanced Subject Mastery: Deep knowledge of celestial ... analyzing light curves, and understanding redshift data. Emphasizes quantitative reasoning about ...

Varsity Tutors

Astronomy Tutor

Schaumburg, IL · Remote

$40/hr

What We Look For In a Astronomy Tutor * Advanced Subject Mastery: Deep knowledge of celestial ... analyzing light curves, and understanding redshift data. Emphasizes quantitative reasoning about ...

Varsity Tutors

Astronomy Tutor

Memphis, TN · Remote

$40/hr

What We Look For In a Astronomy Tutor * Advanced Subject Mastery: Deep knowledge of celestial ... analyzing light curves, and understanding redshift data. Emphasizes quantitative reasoning about ...

Varsity Tutors

Astronomy Tutor

Hialeah, FL · Remote

$40/hr

What We Look For In a Astronomy Tutor * Advanced Subject Mastery: Deep knowledge of celestial ... analyzing light curves, and understanding redshift data. Emphasizes quantitative reasoning about ...

Varsity Tutors

Astronomy Tutor

AZ · Remote

$40/hr

What We Look For In a Astronomy Tutor * Advanced Subject Mastery: Deep knowledge of celestial ... analyzing light curves, and understanding redshift data. Emphasizes quantitative reasoning about ...

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Astronomy Data Analysis information

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$58

$83

How much do astronomy data analysis jobs pay per hour?

As of Jun 20, 2026, the average hourly pay for 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 an Astronomy Data Analysis job?

An Astronomy Data Analysis job involves processing and interpreting data collected from telescopes, satellites, and simulations to study celestial objects and phenomena. Professionals in this field use programming, statistical methods, and specialized software to clean, analyze, and visualize data. They may work on tasks like identifying exoplanets, studying galaxy formations, or analyzing cosmic microwave background radiation. Strong analytical skills, proficiency in programming languages like Python, and knowledge of astrophysics are typically required. These roles are found in research institutions, space agencies, and observatories.

What are the key skills and qualifications needed to thrive in the Astronomy Data Analysis position, and why are they important?

To thrive in Astronomy Data Analysis, you typically need a strong background in astronomy or physics, experience with statistical data analysis, and proficiency in programming languages like Python or R. Familiarity with specialized software such as Astropy, IRAF, or FITS file handling tools, and experience using databases or machine learning frameworks are often required. Critical thinking, problem-solving ability, and clear communication skills will help you interpret findings and work effectively with team members. These skills are crucial to accurately process large datasets, extract meaningful scientific results, and contribute to collaborative research projects.

What are the typical daily responsibilities for someone working in Astronomy Data Analysis?

A professional in Astronomy Data Analysis typically spends their day cleaning and processing raw astronomical data, developing or applying statistical models, and interpreting the results to inform scientific research. They may write and optimize code, create visualizations to represent data findings, and troubleshoot data collection or analysis issues with teammates. Collaboration with astronomers, engineers, and data scientists is common, as is participation in research meetings to discuss progress and new discoveries. This role also frequently involves preparing reports or presentations to communicate results to both technical and non-technical audiences.

More about Astronomy Data Analysis jobs
What cities are hiring for Astronomy Data Analysis jobs? Cities with the most Astronomy Data Analysis job openings:
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Astronomy Data Analysis jobs near you
Infographic showing various Astronomy Data Analysis job openings in the United States as of June 2026, with employment types broken down into 88% Full Time, and 12% Part Time. Highlights an 82% Physical, 4% Hybrid, and 14% 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

Posted 17 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 extensionÂ