GRADUATE ADMISSIONS OPERATIONS & DATA MANAGER, LAW Communications & Marketing

About the role

The BU Law Communications, Marketing & Graduate Admissions Office seeks an experienced Graduate Admissions Operations & Data Manager to join a talented team of professionals who are spearheading efforts to optimize enrollments in BU Laws LLM, master's degree, and certificate programs and advance the law school's reputation as one of the nation's top law schools.

Responsibilities

• Data collection, maintenance, analysis, and reporting for applicants at each stage of the enrollment funnel
• Optimizing the function of the various tools and technologies required for operations
• Maintaining the electronic application process for all candidates
• Maintaining individual candidates' application, scholarship, and admission records, performing all necessary database functions to ensure accuracy of applicant records and integrity of enrollment funnel data
• Holding primary responsibility for ensuring that international applicants have submitted required visa-related documents, that their status is updated accordingly in the system of record, and that electronic records are transferred to the university's international student office for timely updates to SEVIS records and the delivery of immigration documents for visa processing
• Main liaison with the university's central graduate enrollment office for graduate program enrollment data and responsible for the integrity of data that migrates between the admissions CRM, Slate, the university's student information system, and the international student office
• Engaging in data analysis and reporting to discover actionable insights, supporting the maintenance and optimization of predictive admission and scholarship models that inform enrollment management strategies
• Troubleshooting and resolving technical issues related to admissions, marketing, and recruitment technology solutions and maintaining documentation for all operational processes
• Serving as a primary resource to prospective students, responding to prospective student inquiries via emails and phone calls, and participating in recruitment activities including virtual information sessions
• Training department staff and student workers on the proper use of database and technology systems

Requirements

• Bachelor's degree in Business Analytics, Management Information Systems, Data Analytics with a business focus or related degree required; masters degree strongly preferred
• 3-5 years related post-degree experience required; experience in higher education admissions strongly preferred
• Demonstrated knowledge of data analytics and reporting, with the ability to synthesize data, draw conclusions, and provide actionable insights
• Experience using historical data to project future results and forecast enrollments and revenue
• Proficient with technology, particularly database systems; data analysis and reporting tools with the ability to learn new systems swiftly
• Experience with higher education technology platforms preferred
• Excellent organizational, analytical, and problem-solving skills, as well as solid communication, customer service, and interpersonal skills
• Strong attention to detail and the ability to multitask is required
• Advanced knowledge of Microsoft Excel preferred

Qualifications

• Must have excellent organizational, analytical, and problem-solving skills, as well as solid communication, customer service, and interpersonal skills
• Strong attention to detail and the ability to multitask is required
• Advanced knowledge of Microsoft Excel preferred

Skills

• Knowledge of data analytics and reporting
• Experience using historical data to project future results and forecast enrollments and revenue
• Proficiency with database systems and data analysis and reporting tools
• Experience with higher education technology platforms
• Excellent organizational, analytical, and problem-solving skills
• Solid communication, customer service, and interpersonal skills
• Advanced knowledge of Microsoft Excel

Benefits

Not specified

Pay

Not specified

Schedule

Not specified