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Internship Astronomy Data Analysis Jobs (NOW HIRING)

MyFlorida

DATA SCIENCE INTERNSHIP

Saint Petersburg, FL · On-site

Internship Salary: To Be Determined by the Agency Posting Closing Date: 06/30/2026 Data Science ... Support exploratory data analysis to uncover trends, patterns, and insights. * Contribute to the ...

MyFlorida

DATA SCIENCE INTERNSHIP

Sebring, FL · On-site

Internship Salary: To Be Determined by the Agency Posting Closing Date: 06/30/2026 Data Science ... Support exploratory data analysis to uncover trends, patterns, and insights. * Contribute to the ...

MyFlorida

DATA SCIENCE INTERNSHIP

Big Pine Key, FL · On-site

Internship Salary: To Be Determined by the Agency Posting Closing Date: 06/30/2026 Data Science ... Support exploratory data analysis to uncover trends, patterns, and insights. * Contribute to the ...

MyFlorida

DATA SCIENCE INTERNSHIP

Sanford, FL · On-site

Internship Salary: To Be Determined by the Agency Posting Closing Date: 06/30/2026 Data Science ... Support exploratory data analysis to uncover trends, patterns, and insights. * Contribute to the ...

MyFlorida

DATA SCIENCE INTERNSHIP

Fort Lauderdale, FL · On-site

Internship Salary: To Be Determined by the Agency Posting Closing Date: 06/30/2026 Data Science ... Support exploratory data analysis to uncover trends, patterns, and insights. * Contribute to the ...

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

As of Jul 4, 2026, the average hourly pay for internship astronomy data analysis in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.
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Undergraduate Intern - Quantitative Data & Finance (Cross-Disciplinary

Risk Analytics Company

Cambridge, MA

Full-time

Posted yesterday

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