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Entry Level Astronomy Data Analysis Jobs (NOW HIRING)

Dhalite Inc.

Entry-Level Data Analyst

Dallas, TX · On-site

Job Title: Entry-Level Data Analyst Summary We are looking for a motivated Entry-Level Data Analyst ... Clean and prepare datasets for analysis. Analyze data to identify trends and insights. Create ...

CGI Inc.

Data Analyst - Entry Level

Houston, TX · On-site

As an Entry Level Data Analyst, you'll work with cross functional teams to prepare, analyze, and ... data analysis, visualization, problem solving, and responsible data practices. Fall Application ...

Aura Astronomy

$115/hr

... in astronomy, in addition to carrying out functional tasks related to the HST mission support ... UV or IR detector characterization and calibration; data reduction and analysis of UV spectroscopic ...

CGI Inc.

Data Analyst - Entry Level

Dallas, TX · On-site

As an Entry Level Data Analyst, you'll work with cross functional teams to prepare, analyze, and ... data analysis, visualization, problem solving, and responsible data practices Fall Application ...

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Entry Level Astronomy Data Analysis information

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$13

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$61

How much do entry level astronomy data analysis jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for entry level astronomy data analysis in the United States is $32.93, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $36.78 per hour, depending on experience, location, and employer.

What is entry level astronomy data analysis?

Entry level astronomy data analysis involves processing and interpreting astronomical data collected from telescopes and other instruments. Individuals in these positions typically assist with tasks such as calibrating data, identifying patterns, and supporting research projects under the guidance of senior astronomers. They often use software tools for statistical analysis, image processing, and database management. This role provides foundational experience in the field and is suited for those with a background in physics, astronomy, or a related discipline.

What are the key skills and qualifications needed to thrive as an entry level astronomy data analyst?

To thrive as an Entry Level Astronomy Data Analyst, you need a solid background in physics, mathematics, and astronomy, usually supported by a bachelor’s degree in a related field. Familiarity with data analysis tools such as Python, MATLAB, or R, as well as experience with astronomical databases and software like IRAF or Astropy, is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you interpret complex data and collaborate with research teams. These skills are crucial for accurately analyzing astronomical datasets and contributing to scientific discoveries.

What are some common challenges faced by entry level professionals in astronomy data analysis, and how can they overcome them?

Entry-level professionals in astronomy data analysis often encounter challenges such as interpreting complex datasets, mastering specialized software, and staying updated with rapidly evolving analytical techniques. To overcome these hurdles, it's helpful to actively seek guidance from senior team members, participate in training sessions, and engage with the broader astronomy data analysis community. Collaborating closely with astronomers, data scientists, and software engineers within your team can also accelerate your learning and help you develop effective problem-solving strategies.

What is the difference between Entry Level Astronomy Data Analysis vs Entry Level Astrophysics Research Assistant?

AspectEntry Level Astronomy Data AnalysisEntry Level Astrophysics Research Assistant
Required CredentialsBachelor's in Astronomy, Physics, or related fieldBachelor's in Physics, Astronomy, or related field
Work EnvironmentData centers, observatories, research institutionsResearch labs, observatories, universities
Employer & Industry UsageResearch institutions, space agencies, universitiesUniversities, research institutes, government agencies
Common Search & ComparisonYesYes

Entry Level Astronomy Data Analysis focuses on processing and interpreting astronomical data using software tools, while Entry Level Astrophysics Research Assistant involves supporting astrophysics research projects, often including data analysis, literature review, and experimental setup. Both roles require similar educational backgrounds and are found in research environments, but their specific tasks differ slightly.

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Entry Level Astronomy Data Analysis jobs near you
Infographic showing various Entry Level Astronomy Data Analysis job openings in the United States as of September 2026, with employment types broken down into 73% Full Time, 21% Part Time, and 6% Temporary. Highlights an 91% In-person, and 9% Remote job distribution, with an average salary of $68,487 per year, or $32.9 per hour.

Undergraduate Intern - Quantitative Data & Finance (Cross-Disciplinary

Cambridge, MA • On-site

Risk Analytics Company
See more jobs at Risk Analytics Companyexternal

Full-time

Re-posted 10 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