Position Summary:

• Optimizes the processes by which course scheduling data is gathered, validated, manipulated, tested, and assessed.
• Responsible for understanding both the software platforms and related University operations to create and model scheduling scenarios, and to assess each model's relative strengths and weaknesses to address University challenges, which include: reducing course-related bus travel; facilitating efficient student progress toward degree; and increasing courses' access to appropriate learning environments.
• Works with Infosilem module used to gather first-year course demand and create schedules that distribute that demand according to course supply.
• Help to support 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 on all of OASIS's data, including preparing data extracts and feeds.

Minimum Education and Experience:

• Bachelor's degree, or an equivalent combination of education and experience.
• A minimum of five 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.

Required Knowledge, Skills, and Abilities:

• Experience and expertise in analyzing and making operational decisions in the context of a complex system, balancing technical factors, resource constraints, and human needs and preferences.
• Facility with data analysis/business intelligence (BI)/database software, such as Tableau, Microsoft Access, and Excel.
• Experience in applying statistical ideas and methods to data sets to provide BI solutions.
• Experience with Python, Spark, and SQL to manipulate data and draw insights from large data sets.
• Experience with developing insights, presenting, and influencing strategic decisions using data.
• The ability to analyze complex data sets, draw conclusions and relationships and develop actionable recommendations.
• Outstanding attention to detail and the ability to manage numerous tasks simultaneously, as the office is often working on scheduling for three and sometimes four semesters at a time.
• Tact and diplomacy are essential, as this position helps allocate a scarce resource across more than 100 departments and units with competing demands.
• Must be comfortable with continually assessing the need for change, planning new processes and systems, and executing these projects.
• Must have a collegial personality, working with the scheduling team to arrive at practices that best serve the University.
• Possess strong written and verbal communication skills, and must be able to maintain productive working relationships with colleagues in 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.
• Should be prepared to contribute to the collegial, team-oriented culture within the Office of Scheduling and Space Management.
• Among the technical requirements of the job are the 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 the Infosilem modules and interfaces.

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.
• The ability to prepare presentations for senior administrators to clearly articulate results of complex mathematical analysis through strategic storytelling. Familiarity with scheduling software solutions, such as the ones available from Infosilem, Unitime, AdAstra, CollegeNet, and Dean Evans/EMS, is a plus.
• Familiarity with course scheduling, student registration, classroom management, and student information systems at a large university is very strongly preferred.

Equipment Utilized:

• Computer, software as noted above (Tableau, Python, Spark, and SQL, Infosilem, Access, Excel, 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.

Posting Number: 22ST0995

Location: Busch (RU-New Brunswick)