402 computer-security "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "St" positions at New York University in United States
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+ years relevant experience in data analysis, survey research, qualitative approaches, institutional research, enrollment management, and/or program evaluation, or an equivalent combination of education and
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and objectives of the Program. This role is responsible for but not limited to, providing academic, financial, career and personal counseling to HEOP and CSTEP Programs students enrolled at New York
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management, security personnel, and students. Organize check-ins, check-outs, and housing orientations and communicate with appropriate NYU Berlin staff regarding any housing issues. Provide emotional support
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carrying out the academic orientation program for students, planning co-curricular and extracurricular activities as well as events based on student requests or current developments, upholding NYU’s academic
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, assess, and interpret data. Excellent organizational, analytical, interpersonal skills, and judgment. Preferred Skills, Knowledge and Abilities: Be able to strictly follow data privacy and security
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financial aid processes. Must be proficient with Federal Student Aid (FSA) systems and financial aid software (e.g. PeopleSoft, CampusLogic, or similar). -Data Integrity & Security: Must be well-versed in
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, following appropriate safety protocol. Set up, take down, prepare, monitor, and store supplies and equipment, as necessary. Provide assistance with maintenance of equipment and/or request repairs, as
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of the department. Respond to inquiries concerning the School, department, and program offerings. Required Education: Bachelor's Degree in Psychology, Counseling Preferred Education: Master's Degree in Higher
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for immediate, long-range, and future financial support, through gifts and pledges to the University, for critical operations such as student aid, faculty support, academic and research program development, and
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supervising a team that supports technology services. Required Skills, Knowledge and Abilities: Knowledge of data warehousing technologies and data mining computational methods. Demonstrated ability to work