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How much do economics statistics internship jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for economics statistics internship 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.

What is an economics statistics internship?

An Economics Statistics Internship is a temporary position designed for students or recent graduates to gain practical experience in collecting, analyzing, and interpreting economic data. Interns typically work with statistical software, assist in research projects, and help prepare reports that inform economic policy or business decisions. These internships are valuable for developing quantitative, analytical, and research skills in real-world settings. They can be found in government agencies, research institutes, private companies, or international organizations. Completing such an internship can be a strong stepping stone to a career in economics, statistics, or data analysis.

What are the key skills and qualifications needed to thrive as an economics statistics intern, and why are they important?

To thrive as an Economics Statistics Intern, you need a solid background in economics, statistics, and data analysis, typically supported by coursework in econometrics or related fields. Familiarity with statistical software such as R, Stata, or Python, as well as proficiency in Excel, is commonly required. Attention to detail, analytical thinking, and strong written and verbal communication skills help interns interpret and present complex data effectively. These skills are crucial for producing accurate, insightful analysis that supports research and decision-making within the organization.

What types of projects and data analysis tasks can I expect during an economics statistics internship?

As an Economics Statistics Intern, you can expect to work on projects involving the collection, cleaning, and analysis of large economic datasets. Typical tasks include preparing statistical reports, assisting with econometric modeling, and visualizing economic trends using software like Excel, R, or Python. Interns often collaborate with economists, data analysts, and policy researchers, gaining hands-on experience with real-world data and contributing to research that informs business or policy decisions. This internship provides exposure to a variety of economic indicators and statistical tools, building a strong foundation for further study or a career in data-driven economics roles.

What is the difference between Economics Statistics Internship vs Data Analyst Internship?

AspectEconomics Statistics InternshipData Analyst Internship
Required CredentialsUndergraduate degree in Economics, Statistics, or related fieldUndergraduate degree in Data Science, Statistics, or related field
Work EnvironmentResearch institutions, government agencies, economic consulting firmsCorporate, finance, tech companies, consulting firms
Employer & Industry UsageEconomics-focused organizations, policy analysisBusiness analytics, market research, data-driven decision making

While both internships involve data analysis skills, an Economics Statistics Internship focuses on economic data, policy, and statistical methods within economics-related organizations. In contrast, a Data Analyst Internship emphasizes broader data manipulation, visualization, and business insights across various industries.

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Economics Statistics Internship jobs near you
Infographic showing various Economics Statistics Internship job openings in the United States as of August 2026, with employment types broken down into 12% Internship, 63% Full Time, 22% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.

Quantitative Researcher - Internship

WallStreetQuants

New York, NY • On-site

Internship

Posted 29 days ago

Job description

About the Internship

A New York based Hedge Fund is seeking an Undergraduate Quantitative Research Intern to join their quantitative research team. This internship is designed for undergraduate students interested in applying mathematics, statistics, programming, and data analysis to financial markets.

You will work alongside experienced researchers and traders to explore market data, test research ideas, and help evaluate systematic trading strategies. This is a hands-on opportunity to gain exposure to quantitative finance in a collaborative and intellectually challenging environment.

Requirements

Responsibilities
  • Analyze financial and market datasets using statistical methods.
  • Assist with research on systematic trading strategies.
  • Clean, organize, and validate large datasets.
  • Build simple models and backtests under researcher supervision.
  • Write Python code for data analysis, visualization, and research workflows.
  • Summarize findings clearly through charts, reports, or presentations.
  • Collaborate with researchers, traders, and engineers on research projects.
  • Learn how quantitative research ideas are developed, tested, and evaluated.
Qualifications
  • Currently pursuing a bachelor’s degree in Mathematics, Statistics, Computer Science, Engineering, Physics, Economics, Finance, or a related quantitative field.
  • Expected graduation date of 2028 or 2029.
  • Strong academic performance in quantitative coursework.
  • Programming experience in Python.
  • Familiarity with probability, statistics, linear algebra, or optimization.
  • Interest in financial markets, trading, investing, or data-driven decision-making.
  • Strong problem-solving skills and attention to detail.
  • Ability to communicate technical ideas clearly.
Preferred Qualifications
  • Experience with pandas, NumPy, matplotlib, scikit-learn, or similar tools.
  • Coursework or projects involving data analysis, machine learning, econometrics, or time series.
  • Familiarity with SQL or databases.
  • Participation in math, programming, trading, data science, or research competitions.
  • Prior internship, academic research, or independent project involving quantitative analysis.

Benefits

What You’ll Gain
  • Exposure to real-world quantitative research and systematic trading.
  • Mentorship from experienced researchers and traders.
  • Practical experience working with financial data.
  • Opportunity to contribute to meaningful research projects.
  • A deeper understanding of careers in quantitative finance.