Economics Intern: Data-Driven Research & Impact

Secretariat

Washington

On-site

USD 28,000 - 41,000

Full time

14 days+
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Job summary

Secretariat is seeking an Economics Intern to join our growing team. You will work on real cases, analyze data, and learn from experienced professionals in economics, finance, and litigation consulting.

This role is ideal for students who enjoy asking why, exploring data, and turning numbers into clear insights. You will gain hands-on experience with Excel, R, Stata, and Python while contributing to client projects.

Qualifications

  • Pursuing a bachelor’s degree in a quantitative field.
  • Expected graduation between Dec 2027 and Aug 2028.
  • GPA of 3.5 or higher.
  • Proficient with Word, Excel, PowerPoint; familiarity with Stata/Python/R.
  • Strong analytical and data-driven approach.
  • Experience with data through coursework or internships.
  • Authorized to work in the U.S. without sponsorship.
  • Attention to detail and organizational skills.

Responsibilities

  • Work on real cases, real data, and real business challenges under supervision.
  • Assist with gathering, processing, and analyzing data.
  • Contribute to market and industry research.
  • Create visuals and presentations of insights for teams.
  • Develop hands-on experience with Excel, R, Stata, Python.

Skills

Data analysis
Problem solving
Attention to detail
Independent & collaborative
Written & verbal communication

Education

Bachelor’s degree in economics, finance, mathematics, statistics, data science or a related field
Expected graduation date between December 2027 and August 2028
Minimum GPA of 3.5

Tools

Excel
R
Stata
Python

Job description

Secretariat is seeking an Economics Intern to join our growing team. You will work on real cases, analyze data, and learn from experienced professionals in economics, finance, and litigation consulting.

This role is ideal for students who enjoy asking why, exploring data, and turning numbers into clear insights. You will gain hands-on experience with Excel, R, Stata, and Python while contributing to client projects.

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