Part-Time Quantitative Methods Tutor

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Department:

School of International Service

Time Type: Part time

Work Modality:

Union: Excluded

Job Description:

Summary:

SIS Online Programs is seeking a qualified and experienced Quantitative Methods Tutor to join our team and support students enrolled in SISG-763 Research Design and Quantitative Methods. This is a part-time, remote position offering flexible hours, with a commitment of approximately five to ten hours per week, with the possibility of increased hours during peak academic periods like midterms and finals.

Essential Functions:

Conduct weekly group tutoring sessions via Zoom for students enrolled in SISG-763 Research Design and Quantitative Methods.

Provide personalized one-on-one tutoring to students requiring additional assistance with quantitative methods and statistical analysis.

Assist students in understanding and applying key quantitative methods and statistical concepts.

Collaborate with students to enhance their comprehension of course material, including dataset compilation, management, and analysis.

Explain and guide students through interpreting and reporting regression analysis results.

Stay updated on the curriculum and assignments for SISG-763.

Adapt tutoring techniques to cater to diverse learning styles and academic backgrounds.

Be available for additional contact hours during high-volume periods like midterms and finals.

Maintain accurate records of tutoring sessions and student progress.

Position Type/Expected Hours of Work:

Part-Time.

This position is a temporary position, 5-15 hours per week for the period of 5/6-8/18.

Required Education and Experience:

Strong background in quantitative methods and statistical analysis.

Demonstrated proficiency in using SPSS, particularly for regression analysis.

Excellent communication and interpersonal skills to effectively explain complex concepts.

Ability to conduct engaging and productive online tutoring sessions via Zoom.

Commitment to maintaining confidentiality and professionalism.

Reliability and punctuality in meeting scheduled tutoring sessions.

Preferred Education and Experience:

Master's degree in a related field (e.g., Statistics, Data Science, Social Science Research Methods) is preferred.

Prior experience tutoring students remotely in quantitative methods and statistical software (SPSS) is highly preferred.

Benefits

AU offers a competitive benefits package including a 200% matching retirement plan, tuition benefits for full-time staff and their families, several leadership development certificates, and has been recognized by the American Heart Association as a fit-friendly worksite. Click here to learn about American University's unique benefit options.

Other Details

Hiring offers for this position are contingent on successful completion of a background check.

Employees in staff positions at American University must deliver their services to the university from either the District of Columbia, Maryland, or Virginia, or perform work on-site at the university.

Please note this job announcement is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

American University is an E-Verify employer.

Current American University Employees

American University current employees must apply through their employee Workday account. If you are a current employee at American University, please log into Workday and select the Find Jobs report which will take you to our internal career listings.

Contact Us

For more information or assistance with the American University careers site, email .

American University is an equal opportunity, affirmative action institution that operates in compliance with applicable laws and regulations. The university does not discriminate on the basis of race, color, national origin, religion, sex (including pregnancy), age, sexual orientation, disability, marital status, personal appearance, gender identity and expression, family responsibilities, political affiliation, source of income, veteran status, an individual’s genetic information or any other bases under federal or local laws (collectively "Protected Bases") in its programs and activities.

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