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Apprentice Astronomy Data Analysis Jobs (NOW HIRING)

aui

Software Engineer III - UPDATED

Socorro, NM · On-site +1

$54.25 - $72.75/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 ...

Caltech

Application Developer

Pasadena, CA · On-site

IRSA ( is the steward of scientific data sets delivered by NASA's Astrophysics missions. We enable ... analyzing data from cutting-edge astronomical facilities. Current and future missions in IRSA ...

aui

Software Engineer III - UPDATED

Albuquerque, NM · On-site +1

$53.75 - $72/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

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 ...

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

Brownsville, TX · 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

Baton Rouge, LA · 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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Apprentice Astronomy Data Analysis information

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How much do apprentice astronomy data analysis jobs pay per hour?

As of May 31, 2026, the average hourly pay for apprentice astronomy data analysis in the United States is $22.81, according to ZipRecruiter salary data. Most workers in this role earn between $18.27 and $25.24 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Apprentice Astronomy Data Analysis, and why are they important?

To thrive as an Apprentice in Astronomy Data Analysis, a solid grounding in physics, mathematics, and computer science—often supported by a relevant undergraduate degree or coursework—is essential. Familiarity with data analysis tools such as Python, MATLAB, or R, as well as experience with astronomical databases and telescope data processing software, is typically required. Attention to detail, problem-solving abilities, and effective communication help candidates collaborate with research teams and interpret complex datasets. These skills ensure accurate analysis, meaningful scientific contributions, and successful integration into research environments.

What types of projects and datasets can an Apprentice Astronomy Data Analysis expect to work with on a daily basis?

As an Apprentice Astronomy Data Analyst, you’ll frequently work with observational data from telescopes, both ground-based and space-based, including images, spectra, and time-series data. Typical tasks involve cleaning raw data, running analyses using software tools like Python or specialized astronomy packages, and collaborating with senior researchers to interpret results. You may contribute to ongoing projects related to the study of exoplanets, galaxies, or variable stars, and regularly participate in team meetings to discuss findings and troubleshoot challenges. This hands-on experience is invaluable for building technical skills and understanding the collaborative nature of astronomical research.

What are Apprentice Astronomy Data Analysts?

Apprentice Astronomy Data Analysts are entry-level professionals who assist astronomers and researchers in collecting, processing, and interpreting astronomical data. They typically work with data from telescopes, satellites, or simulations, using specialized software and analytical techniques. Apprenticeships in this field provide hands-on experience and training, helping individuals develop skills in data analysis, programming, and scientific research. These roles are designed for those starting their careers in astronomy and looking to gain practical knowledge under the supervision of experienced scientists.

What is the difference between Apprentice Astronomy Data Analysis vs Astronomy Data Analyst?

AspectApprentice Astronomy Data AnalysisAstronomy Data Analyst
Required CredentialsBasic degree or ongoing education in astronomy or related fieldBachelor's or higher in astronomy, physics, or data analysis
Work EnvironmentTraining programs, research labs, observatoriesResearch institutions, universities, observatories
Employer & Industry UsageEntry-level, learning-focused roles in astronomy projectsProfessional roles analyzing astronomical data for research or publications

In summary, Apprentice Astronomy Data Analysis is an entry-level, training-focused position for individuals developing skills in astronomical data analysis, often within educational or research settings. In contrast, Astronomy Data Analysts are more experienced professionals responsible for interpreting complex data to support scientific discoveries.

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What are the most commonly searched types of Astronomy Data Analysis jobs? The most popular types of Astronomy Data Analysis jobs are:
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Apprentice Astronomy Data Analysis jobs near you
Infographic showing various Apprentice Astronomy Data Analysis job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 20% Hybrid, and 80% Remote job distribution, with an average salary of $47,449 per year, or $22.8 per hour.

Undergraduate Intern - Quantitative Data & Finance (Cross-Disciplinary

Risk Analytics Company

Cambridge, MA

Full-time

Posted 27 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