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Assistant Director of Talent Data & Analytics
Johns Hopkins University | |
United States, Maryland, Baltimore | |
April 29, 2024 | |
Development and Alumni Relations (DAR) supports Johns Hopkins' focus on research, teaching and patient care, and its role as a national and global leader in higher education. We create and foster enduring relationships that result in advocacy and philanthropic support for Johns Hopkins University & Medicine; strengthening the institution through partnerships with donors, alumni, volunteer leaders, faculty, students, staff, and patients. Johns Hopkins University supports a flexible work model which includes four different work modalities. This role has a hybrid work arrangement with an onsite presence of 3 days per week. The manager will confirm the team's core onsite days where the majority/all team members will work in the office. Employees who travel on university business can count those days towards their onsite days. This role will report to the Director of Learning, Change Management and OD on the Talent Management and Human Resources (TMHR) team in Development & Alumni Relations (DAR). You will embrace and advance the university's HR mission of attracting, developing, retaining, and engaging a high-performing workforce in support of excellence in the university's mission, while promoting diversity, equity, civility, and respect. The Data Analyst is responsible for gathering and analyzing data in support of strategic talent and performance objectives for the Development and Alumni Relations Division. This includes particular focus on driving the efficiency and effectiveness of the fundraising and alumni relations teams. Working with the support of TMHR leadership, they will leverage a range of data sources to create clear and compelling narratives that can lead to decision and action. SPECIFIC DUTIES AND RESPONSIBILITIES
Minimum Qualifications
Preferred Qualifications
All applicants are expected to uphold the university's core values which includes diversity and inclusion. All staff treat people with dignity and respect by being fair and consistent. We demonstrate an open-minded approach to understanding people regardless of their race, gender, age, national origin, religion, ethnicity, disability status or other characteristics. We show respect for the beliefs and traditions of others; encourage and promote practices that support cultural diversity; and discourage behaviors or practices that may be perceived as unfair, biased, or critical toward people with certain backgrounds. Classified Title: Data Analyst |