Academic Assistant - School of Computing and Data Science
Job posting number: #7081558
Posted: July 23, 2021
Application Deadline: Open Until Filled
Job DescriptionJob Description Summary
Wentworth Institute of Technology is seeking applicants interested in joining the Wentworth community as a The Academic Assistant in the School of Computing and Data Science.
Reporting to the Dean, the Assistant collaborates with team members in the School leadership on customer service-oriented projects other activities as necessary. The Academic Assistant:
Serves as the front-line point of contact for the School of Computing and Data Science, managing customer service requests from students, faculty, and staff members within the school and across the University;
Works with the Dean’s Office team to support School initiatives and collaborate on teams with colleagues from the Registrar’s Office, Success Studio, and Academic Affairs to provide integrated communications and to support all areas of the university in student retention for the School of Computing and Data Science;
Works closely with School faculty to provide resources and support.
The School of Computing and Data Science serves approximately 900 students in four undergraduate computing and data science programs: Computer Science, Computer Networking, Cybersecurity and Applied Mathematics. The School also offers three master’s degree programs in Applied Computer science, Data Science, and Business Analytics.
Inclusive Excellence at Wentworth:
Wentworth Institute of Technology is committed to diversity, equity, and inclusion in all University programs and activities. The University does not discriminate based on race, color, national origin, sex, sexual orientation, religion, disability, age, genetic information, gender identity, veteran status or any other category protected by law. All qualified applicants will receive consideration.
To find out more about the Wentworth’s commitment to Diversity, Equity and Inclusion, please visit the website https://wit.edu/about/diversity .
How to Apply:
Interested applicants should apply at https://jobs.wit.edu
All applicants have the right to accessibility support and accommodations. To request accessibility support or accommodations, contact the Executive Director of Equity and Compliance, Catlin Wells, at email@example.com.
Minimum Education Required Bachelor's degree
Preferred Education Master's degree
Minimum Work Experience Required 1-3 years
Preferred Work Experience 3-5 years
Minimum Knowledge Required Working knowledge of fundamental concepts, practices and procedures and ability to apply in varied situations. Uses instructions and guidelines to perform the job safety function. Periodic training will be required.
Preferred Knowledge Working knowledge of concepts, practices and procedures and ability to use in varied situations.
Advertised Minimum Qualifications
Demonstrated commitment to diversity, equity, and inclusion
Demonstrated ability to support a diverse, inclusive, and culturally responsive environment
Demonstrated experience and success in a front-facing, customer-service oriented role
Proficient in Microsoft Office Suite applications, Adobe Acrobat Pro, and in collaborative, cloud-based software, such as Microsoft 365 and Google Drive
Advertised Preferred Qualifications
Experience working in an academic setting
Professional judgment and discretion when handling high-level matters
Demonstrated ability to communicate effective in interpersonal settings
Excellent written communication skills and strong proofreading ability
Quick to adapt to new technologies and procedures
Excellent organizational and time-management skills, ability to switch gears quickly and handle many interruptions
Knowledge of FERPA laws surrounding student privacy
Ability to prioritize and work independently, exercising good judgment and meeting deadlines with minimal oversight
Experience with advising software, such as EAB Navigate or similar
Experience with Banner and BannerWeb or similar tools
Experience with Argos or similar reporting tools
Experience working with data and knowledge of data analysis and reporting best practices
Demonstrated proficiency in two or more languages