Data Assistant (Student) (FWS)

Work Where You Learn: Build Experience, Grow Skills, and Contribute to Your University Community.

 

This position is available only to enrolled American University students.

Most student positions at American University are eligible to use Federal Work Study (FWS) awards, with a few exceptions. FWS funds cannot be applied to janitorial, construction, partisan or sectarian positions. For information or questions regarding FWS funds, please contact American University's Office of Financial Aid.

 

Important guidance for current American University employees: American University current employees, including those employed in student positions, must apply through their employee Workday account. If you are a current employee at American University, please log into your employee Workday account and select the Find Jobs report which will take you to our internal career listings. Applying outside of your employee Workday account may cause delays in a hire process.

Department:

School of International Service

Time Type:

Part time

FLSA Status:

Non-Exempt

Job Description:

Summary:

The Office of Career Development (OCD) in the School of International Service (SIS) at American University provides programming, career advising, and resources to support career education and mentorship for undergraduates and graduate students pursuing careers in international affairs.  

The SIS OCD is seeking a Data Assistant (Federal Work Study) who will be responsible for supporting data collection, analysis, and presentation under the supervision of the Program Coordinator. The Data Assistant will play a critical role in supporting data-driven decision-making and enhancing the overall effectiveness of career services. This position offers a unique opportunity to gain practical experience in analyzing, organizing, interpreting, and presenting career-related data. The Data Assistant will collaborate with the OCD team to collect, maintain, and analyze data to inform strategic initiatives and improve student and employer engagement. This role is an excellent fit for individuals interested in the intersection of data analytics and career development. 

An overarching commitment to inclusive excellence is key for this role. All staff and student workers in the SIS OCD are committed to continually increasing their knowledge about different communities’ experiences in the job market, higher education, and larger societal contexts regarding access, opportunity, and justice, and supporting team efforts to do the same. This includes completing all job duties with an awareness of the concerns, pressures, and inequities that members of underserved communities face. It also includes developing and providing resources that are intentionally inclusive of individuals from a range of backgrounds, as reflected in the AU student body.    

The SIS Office of Career Development is committed to inclusive excellence, and we encourage applicants from distinct backgrounds. Learn more about our office, here: https://www.american.edu/sis/career/.   

Applicants are encouraged to submit a resume and cover letter detailing their experience with the key components of this role and their interest in this position. 

Essential Functions: 

1.) Data Collection and Management

• Collect and organize career-related data from various sources, including drop-in advising, the SIS mentorship program, surveys, social media, and the graduation census. 

• Gather SIS Career advising and event attendance data via Handshake.  

• Utilize scarping software to extract and pinpoint specific data on our SIS LinkedIn group related to jobs, internships, and other opportunities shared with us.  

• Ensure the accuracy, completeness, and integrity of data by conducting regular data quality checks and resolving discrepancies. 

• Maintain and update databases, spreadsheets, and other data repositories to ensure efficient data retrieval and accessibility.

2.) Data Analysis and Reporting

• Generate monthly data reports and visualizations to effectively communicate data findings to OCD team.  

• Assist in analyzing career-related data to identify trends,