Economics Teaching Assistant

The Economics Teaching Assistant will provide instructional and administrative support to an Economics professor. The position is designed for a student with a strong background in economics who is interested in developing teaching, communication, and academic support skills.

Responsibilities

• Assist the professor with preparation and organization of course materials, assignments, problem sets, and classroom activities.
• Provide academic support to students by answering questions about course material and helping students understand economic concepts and quantitative methods.
• Hold scheduled office hours or tutoring sessions for students as needed.
• Assist with grading homework assignments, problem sets, quizzes, and other course work using grading guidelines provided by the professor.
• Review assignments for completeness and accuracy and maintain organized grading records.
• Help manage materials and announcements through the university's learning-management system.
• Assist with preparation and administration of examinations when needed.
• Maintain confidentiality regarding student grades, academic records, and other protected student information.
• Perform other course-related academic duties as assigned by the professor.
• Assist students with introductory statistical or programming exercises when relevant to the course, including work using R, Python or Stata.

Minimum Qualifications

• Currently enrolled graduate student in Economic Analysis and Data Analytics.
• Successful completion of introductory economics coursework.
• Strong written and verbal communication skills.
• Strong organizational skills and attention to detail.
• Ability to explain economic concepts clearly to other students.
• Ability to work independently and meet deadlines.
• Demonstrated reliability and professionalism.

Preferred Qualifications

• Successful completion of Intermediate Microeconomics, Intermediate Macroeconomics, Econometrics, or related quantitative economics courses.
• Prior experience as a tutor, peer mentor, teaching assistant, or research assistant.
• Familiarity with statistical or data-analysis software such as R, Python, or Stata.
• Strong quantitative and problem-solving skills.