Student Employment Data Analyst- temp

New York Institute of Technology's six schools and colleges offer undergraduate, graduate, and professional degree programs in in-demand disciplines including computer science, data science, and cybersecurity; biology, health professions, and medicine; architecture and design; engineering; IT and digital technologies; management; and energy and sustainability. A nonprofit, independent, private, and nonsectarian institute of higher education founded in 1955, it welcomes nearly 8,000 students worldwide.

The university has campuses in New York City and Long Island, New York; Jonesboro, Arkansas; and Vancouver, British Columbia, as well as programs around the world. More than 112,000 alumni are part of an engaged network of physicians, architects, scientists, engineers, business leaders, digital artists, and healthcare professionals. Together, the university's community of doers, makers, healers, and innovators empowers graduates to change the world, solve 21st-century challenges, and reinvent the future.

For more information, visit nyit.edu.

The Office of Student Employment provides a variety of on-campus and off-campus paid employment opportunities for New York Institute of Technology students. These opportunities foster and promote career, personal, and professional development, and aid in the ability to enhance the necessary skills needed for success after graduation. Students have the ability to apply learned skills and theories in a practical setting while earning income to assist with college expenses.

The Office of Student Employment strives to:

Support the recruitment and retention goals of New York Tech.
• Assist students seeking part-time employment that will complement and support their academic experience.
• Provide training for career and professional development.
• Expose students to experiences that foster lifelong learning and job development.
• Assist students in financing their education.
• Educate supervisors and employers to create an impactful student experience.
• Deliver administrative and technical support to employers and the New York Tech community.

New York Institute of Technology (NYIT) is seeking a temporary Student Employment Data Analyst to support the Office of Student Employment. This temporary role will focus on paperwork collection, event planning and facilitation, data management, and training. The position is based at the New York City campus, with some flexibility to work at the Long Island campus as needed.

We are seeking a detail-oriented and technically skilled Student Employment Data Systems Analyst to support the critical transition and testing of student employment data within a new Workday system implementation.

• Bachelor's degree preferred.
• Prior experience in a student employment office or familiarity with student employment processes (e.g., onboarding, payroll, timekeeping) a plus.
• Understanding of HR systems and student workforce structures in higher education.
• Strong communication and organizational skills.
• Proficient in MS Office (Excel, Word, Outlook).
• Ability to work independently and handle multiple tasks.
• Flexible and able to adapt to a changing environment.
• Willingness to travel between NYC and Long Island campuses if needed.

The position is ideal for a current data science major or recent graduate with strong analytical, technical, and problem-solving skills.

Schedule: 25 hours per week, 3-4 days per week

This is an in-person role at the New York City campus.

New York Institute of Technology is an Equal Opportunity Employer - All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

In compliance with local legislation as well as to provide greater transparency to candidates, the annual base salary range for this position is listed. New York Tech considers factors such as (but not limited to) scope and responsibilities of the position, candidate experience/expertise, education/training, key skills, geographic location, internal peer equity as well as market, organizational considerations and/or applicable collective bargaining agreement when extending an offer.