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Internship Astronomy Data Analysis Jobs (NOW HIRING)

OmniSource

Data Analytics Internship

Dayton, TX

What sets this Data Analytics Internship apart is the opportunity to directly support business intelligence development for one of the company's largest recycling divisions. The intern will help ...

MyFlorida

DATA SCIENCE INTERNSHIP

Sebastian, FL

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

Punta Gorda, FL

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

Winter Haven, FL

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 Jun 14, 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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Internship Astronomy Data Analysis jobs near you

Undergraduate Intern - Quantitative Data & Finance (Cross-Disciplinary

Risk Analytics Company

Cambridge, MA

Full-time

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 extensionÂ