Data and Systems Specialist

Student & Campus Life (SCL) inspires transformation in all Cornell students on their journey of individual, academic and personal evolution. Our division is comprised of leading student affairs experts who support our campus on pressing student life matters including public service, health, wellbeing, connection and belonging, residential living, food services, sports, recreation, career services, and student activities and organizations including sorority and fraternity life. We provide support and services to roughly 25,000 undergraduate, graduate, and professional students on multiple campuses in the U.S. and abroad.

University Career Development (UCD) is under Cornell's Division of Student and Campus Life and part of the Cornell Career Network. Our comprehensive services are open to all students and alumni, and complement the services offered through career offices in the undergraduate colleges that are tailored to more college-specific academic and career goals.

The Cornell Career Network is a collaborative, campus-wide ecosystem that helps students explore options, refine goals, and build skills and connections for success. Career development is coordinated through a hybrid model led by University Career Development, which oversees strategic planning and operations. The UCD team strategically leads a “One Cornell” approach to employer engagement, advising and education, with services and initiatives conducted in partnership with college and school-based teams across the university.

This role serves as a Data and Systems Specialist within the Career Network, supporting both technical infrastructure and analytical needs. This position manages critical career technologies/platforms, oversees user access and onboarding processes in Handshake, and ensures system reliability across the Network. As a data leader, this individual will help drive high‑quality data collection, governance, reporting, and analysis across multiple platforms—ensuring accuracy, consistency, and adherence to data security and confidentiality standards.

Success Factors

• Demonstrated ability to perform somewhat complex analysis to understand as well as interpret process or data needs and make appropriate recommendations for action
• Possess a strong attention for detail, excellent organizational and time management skills, as well a proactive approach in order to manage multiple, competing priorities/projects
• Thrive in a collaborative and complex workplace, utilizing strong stakeholder relationship building skills as well as consensus-building skills in order to establish effective working relationship with multiple diverse teams or work groups.

While position responsibilities vary, every member of our community is expected to foster a culture of belonging and a healthy work environment by communicating across differences; being cooperative, collaborative, open, and welcoming; showing respect, compassion, and empathy; engaging and supporting others regardless of background or perspective; speaking up when others are being excluded or treated inappropriately; and supporting work/life integration of oneself and others.

Required Qualifications

• Bachelor's Degree required with up to 2 years of related experience in managing data, data analytics, operations or an equivalent combination of experience and education is also acceptable
• Intermediate knowledge of Excel, including pivot tables and working with large datasets
• Fluency in standard software including Microsoft Office suite, reporting applications, data cleaning and analysis
• Familiarity with Tableau or Power BI
• Demonstrated ability to handle confidential information, display sound judgement and ethics
• Ability to cultivate and develop inclusive and equitable working relationships with students, faculty, staff, and community members.
• Experience modeling values that support inclusion, belonging, and wellbeing.

Preferred Qualifications

• Master's degree in a related field: data analytics, data management, etc.
• Data analysis experience in a higher education setting

University Job Title:

Informatics/Data Analyst II - SP

Job Family:

Administration

Level:

E

Pay Rate Type:

Hourly

Pay Range:

$31.73 - $36.88

Remote Option Availability:

Remote

Company:

Endowed

Contact Name:

Caleb Yu

Contact Email:

View email address on aiapply.co

Job Titles and Pay Ranges:

Non-Union Positions

Noted pay ranges reflect the potential pay opportunity for each job profile. The hiring rate of pay for the successful candidate will be determined considering the following criteria:

• Prior relevant work or industry experience

• Education level to the extent education is relevant to the position

• Unique applicable skills

• Academic Discipline

To learn more about Cornell’s non-union staff job titles and pay ranges, see Career Navigator.

Union Positions

The hiring rate of pay for the successful candidate will be determined in accordance with the rates in the respective collective bargaining agreement. To learn more about Cornell’s union wages, see Union Pay Rates.

Current Employees:

If you currently work at Cornell University, please exit this website and log in to Workday using your Net ID and password. Select the Career icon on your Home dashboard to view jobs at Cornell.

Online Submission Guidelines :

Most positions at Cornell will require you to apply online and submit both a resume/CV and cover letter. You can upload documents either by “dragging and dropping” them into the dropbox or by using the “upload” icon on the application page. For more detailed instructions on how to apply to a job at Cornell, visit How We Hire on the HR website.

Employment Assistance:

For general questions about the position or the application process, please contact the Recruiter listed in the job posting or email View email address on aiapply.co.

If you require an accommodation for a disability in order to complete an employment application or to participate in the recruiting process, you are encouraged to contact Cornell Office of Civil Rights at voice View phone number on aiapply.co, or email at View email address on aiapply.co.

Applicants that do not have internet access are encouraged to visit your local library, or local Department of Labor. You may also request an appointment to use a dedicated workstation in the Office of Talent Attraction and Recruitment, at the Ithaca campus, by emailing View email address on aiapply.co.

Notice to Applicants:

Please read the required Notice to Applicants statement by clicking here . This notice contains important information about applying for a position at Cornell as well as some of your rights and responsibilities as an applicant.

EEO Statement:

Cornell welcomes students, faculty, and staff with diverse backgrounds from across the globe to pursue world-class education and career opportunities, to further the founding principle of “... any person ... any study.” No person shall be denied employment on the basis of any legally protected status or subjected to prohibited discrimination involving, but not limited to, such factors as race, ethnic or national origin, citizenship and immigration status, color, sex, pregnancy or pregnancy-related conditions, age, creed, religion, actual or perceived disability (including persons associated with such a person), arrest and/or conviction record, military or veteran status, sexual orientation, gender expression and/or identity, an individual’s genetic information, domestic violence victim status, familial status, marital status, or any other characteristic protected by applicable federal, state, or local law.

Cornell University embraces diversity in its workforce and seeks job candidates who will contribute to a climate that supports students, faculty, and staff of all identities and backgrounds. We hire based on merit, and encourage people from historically underrepresented and/or marginalized identities to apply. Consistent with federal law, Cornell engages in affirmative action in employment for qualified protected veterans as defined in the Vietnam Era Veterans’ Readjustment Assistance Act (VEVRAA) and qualified individuals with disabilities under Section 503 of the Rehabilitation Act. We also recognize a lawful preference in employment practices for Native Americans living on or near Indian reservations in accordance with applicable law.

2026-08-28