Data Visualization Specialist

Position Details
Position Information
Recruitment/Posting Title
Data Visualization Specialist

Job Category
Staff & Executive - Administrative & Support

Department
Acad Schedulng & Instrct Space

Overview
Rutgers, The State University of New Jersey, is a leading national research university and the State of New Jersey's preeminent, comprehensive public institution of higher education. As one of the largest employers in the State of New Jersey, Rutgers University is committed not only to the students and the State that we serve, but also to the faculty and staff who work on our campuses. For two consecutive years, Rutgers is ranked on Forbes' list of America's Best Large Employers. Rutgers holds #64 of 500 employers and is the #1 New Jersey employer on the publication's 2023 list. Rutgers' commitment to its employees includes maintaining and fostering a safe, diverse, and respectful workplace environment, creating employment opportunities for our nation's military veterans, and ensuring accessibility and accommodation for individuals with disabilities.

The Office of Academic Scheduling and Instructional Space is a high-visibility, high-volume, deadline-sensitive operation that manages classroom scheduling and first-year sectioning, exam scheduling, event scheduling, advising technologies, and related data analysis. Reporting to the Rutgers-New Brunswick Chancellor's Office, OASIS schedules more than 25,000 course sections and 4,000 final exams per year.

Posting Summary
Rutgers, The State University of New Jersey, is seeking a Data Visualization Specialist for the Office of Academic Scheduling and Instructional Space (OASIS).

Reporting to the Director of the Office of Academic Scheduling and Instructional Space (OASIS), the Data Visualization Specialist is responsible for building visualizations, analyzing data, and providing business intelligence (BI) insights to create and maintain data solutions that inform decision-making at Rutgers-New Brunswick.

Rutgers-New Brunswick's advanced scheduling software is designed to help address a critical element of the University's strategic vision, namely enhancing course scheduling to help reduce student inter-campus bus travel and help ensure that students can register for the courses they need to progress toward a degree in a timely fashion. The incumbent is responsible for understanding both the software platforms and related University operations to create and model academic planning scenarios.

Among the key duties of this position are the following:

• Works closely with fellow data analysts and software developers-using analytical and reporting tools such as Tableau and web-based applications-to develop and deliver data stories, analytics, and reporting solutions.
• Leverages Tableau to develop streamlined and visually impactful dashboards that transform complex data into clear, actionable insights, empowering stakeholders to make informed, data-driven decisions.
• Works closely with other data staff in OASIS to optimize the processes by which course scheduling and related data are gathered, validated, manipulated, tested, and assessed.
• Supports the implementation, launch, and operation of Infosilem's exam and event scheduling modules, which, along with course scheduling data, will interface with Tableau-based data dashboarding and visualization efforts across all OASIS data, including preparing data extracts and feeds.
• Maintains productive working relationships with colleagues in the Rutgers-New Brunswick Office of the Chancellor, the Office of Information Technology, the University Registrar, Summer/Winter Session, academic units, and scheduling counterparts at the Rutgers University-Newark and Rutgers University-Camden campuses. Importantly, the Data Visualization Specialist should be prepared to contribute to the collegial, team-oriented culture within OASIS.

FLSA
Exempt

Grade
07

Salary Details

Minimum Salary
94492.000

Mid Range Salary
119604.000

Maximum Salary
144715.000

Offer Information
The final salary offer may be determined by several factors, including, but not limited to, the candidate's qualifications, experience, and expertise, and availability of department or grant funds to support the position. We also take into consideration market benchmarks, if and when appropriate, and internal equity to ensure fair compensation relative to the university's broader compensation structure. We are committed to offering competitive and flexible compensation packages to attract and retain top talent.

Benefits
Rutgers provides a comprehensive benefits package to eligible employees. The specific benefits vary based on the position and may include:

• Medical, prescription drug, and dental coverage
• Paid vacation, holidays, and various leave programs
• Competitive retirement benefits, including defined contribution plans and voluntary tax-deferred savings options
• Employee and dependent educational benefits (when applicable)
• Life insurance coverage
• Employee discount programs

Position Status
Full Time

Working Hours

Standard Hours
37.50

Daily Work Shift

Work Arrangement
Consistent with the current application of Rutgers Policy 60.3.22 or the applicable provisions of relevant collective negotiations agreements, this position may be eligible for a hybrid work arrangement. Flexible work arrangements are not permanent, subject to change or discontinuation, and contingent on the employee receiving approval in the View email address on click.appcast.io Application System.

Union Description
Admin Assembly (MPSC)

Payroll Designation
PeopleSoft

Seniority Unit

Terms of Appointment
Staff - 12 month

Position Pension Eligibility
ABP

Qualifications
Minimum Education and Experience

• Bachelor's degree, or an equivalent combination of education and experience.
• Four or more years of relevant work experience in a responsible, higher education role with demonstrated responsibility for processes and outcomes that are relevant to the duties of this position.

Certifications/Licenses

Required Knowledge, Skills, and Abilities

• Ability to understand, test, and improve the processes by which data is migrated among the University's legacy mainframe system, OIT Oracle databases, the existing course scheduling portal, and Infosilem modules and interfaces.
• Experience and expertise in analyzing complex systems and making operational decisions while balancing technical factors, resource constraints, and stakeholder needs and preferences.
• Proficiency with data analysis, business intelligence (BI), and database tools such as Tableau, Microsoft Access, and Excel.
• Ability to become conversant with issues related to the coordination of course scheduling, student registration, student housing and transportation, finance, and human resources.
• Experience applying statistical methods to data sets to develop BI solutions and actionable insights.
• Experience using Python, SAS, and SQL to manipulate data and derive insights from large data sets.
• Experience developing insights from data, presenting findings, and influencing strategic decision-making.
• Ability to analyze complex data sets, identify relationships and trends, draw conclusions, and develop actionable recommendations.
• Outstanding attention to detail and the ability to manage multiple priorities simultaneously, as the office often works on several large-scale data projects at once.
• Knowledge of color theory and experience working within visual identity standards.
• Strong written and verbal communication skills, along with tact and diplomacy.
• Ability to assess the need for change continuously, design and implement new processes and systems, and successfully execute related projects. Must possess a collegial, collaborative approach and work effectively with the scheduling team to develop practices that best serve the University.

Preferred Qualifications

• MBA or Master's degree in statistics, mathematics, analytics, engineering, computer science, or another technical and/or financial discipline.
• Experience with Big Data architecture and mining for insights across various data sources.
• Technical knowledge for improving system performance, capacity, reliability and scalability of data visualization and reporting solutions.
• Ability to prepare presentations for senior administrators to clearly articulate results of complex mathematical analysis through strategic storytelling.
• Familiarity with course scheduling, student registration, classroom management, and student information systems at a large university, such as the ones available from Infosilem.

Equipment Utilized

• Computer, software as noted above (Tableau, Python, SAS, and SQL, Infosilem, Access, Excel, visual design software, home-grown systems).

Physical Demands and Work Environment

• No heavy lifting is required.
• Use of computer hardware and software, and telephone communication.
• Long periods of sitting.
• Little to no intense physical exertion.

Special Conditions

Posting Details
Posting Number
26ST1382

Posting Open Date
06/23/2026

Special Instructions to Applicants

Regional Campus
Rutgers University-New Brunswick

Home Location Campus
Busch (RU-New Brunswick)

City
Piscataway

State
NJ

Location Details

Pre-employment Screenings
All offers of employment are contingent upon successful completion of all pre-employment screenings.

Immunization Requirements

Under Policy 100.3.1 Immunization Policy for Covered Individuals, if employment will commence during Flu Season, Rutgers University may require certain prospective employees to provide proof that they are vaccinated against Seasonal Influenza for the current Flu Season, unless the University has granted the individual a medical or religious exemption. Additional infection control and safety policies may apply. Prospective employees should speak with their hiring manager to determine which policies apply to the role or position for which they are applying. Failure to provide proof of vaccination for any required vaccines or obtain a medical or religious exemption from the University will result in rescission of a candidate's offer of employment or disciplinary action up to and including termination.

Equal Employment Opportunity Statement
It is university policy to provide equal employment opportunity to all its employees and applicants for employment regardless of their race, creed, color, national origin, age, ancestry, nationality, marital or domestic partnership or civil union status, sex, pregnancy, gender identity or expression, disability status, liability for military service, protected veteran status, affectional or sexual orientation, atypical cellular or blood trait, genetic information (including the refusal to submit to genetic testing), or any other category protected by law. As an institution, we encourage all qualified applicants to apply. For additional information please see the Non-Discrimination Statement at the following web address: