Associate Director, Data Analytics - McDonough School of Business
Georgetown UniversityAbout the role
Georgetown University comprises two unique campuses in the nation’s capital. With the Hilltop Campus located in the heart of the historic Georgetown neighborhood, and the Capitol Campus, just minutes from the U.S. Capitol and U.S. Supreme Court, Georgetown University offers rigorous academic programs, a global perspective, and unparalleled opportunities to engage with Washington, D.C. Our community is a close-knit group of remarkable individuals driven by intellectual inquiry, a commitment to social justice, and a shared dedication to making a difference in the world.
Requirements
At Georgetown University’s McDonough School of Business, our mission is to build global business knowledge and inspire ethical leaders to serve the common good. We provide a world-class undergraduate, graduate, and executive experience rooted in our distinctiveness: Access to expertise across Georgetown University’s renowned schools to provide interdisciplinary, integrated, learning experiences; A location in the global capital city of Washington, D.C., with access to thought leaders and influencers across business, government, policy, non-governmental agencies, and embassies; And Georgetown University’s Jesuit tradition that calls upon us to be leaders who foster a collaborative culture and use empathy and care for others as they work to solve the world’s most complex challenges and serve the common good.
The Associate Director of Data Analytics (AD) is responsible for comprehensively managing admissions data for the McDonough School of Business (MSB) Graduate Degree Programs. This encompasses gathering, organizing, analyzing, promoting, and integrating data to drive informed decision-making. This role will leverage data analytics to ensure the admissions team make informed decisions when recruiting, selecting, and crafting cohorts for graduate degree programs at MSB. This employee will possess a deep understanding of our back-end systems such as TargetX, Salesforce, Marketo, ScheduleOnce, and integrate and organize the data flowing through these systems to help the admissions team make informed decisions and increase the probability of success of bringing quality students to our programs.
Duties include but are not limited to:
Maintain organized and accessible datasets for all Graduate Degree admissions metrics.
Provide regular and ad-hoc reporting to support admissions and scholarship decisions.
Promote data literacy and empower teams with tools and training.
Design and implement models to predict application volume, yield, deposit numbers, and scholarship impact.
Work Interactions
The AD reports directly to the Senior Director of Budgets and Data Analytics.
This position relies on the recruitment, admissions, and careers teams’ discrete data collection about our prospects, applicants, and students. Close collaboration with key stakeholders within admissions is expected, including working closely with the Associate Dean and Managing Director of Graduate & Executive Degree Programs, the Associate Dean of Graduate and Executive Degree Program Admissions, the Associate Dean for MBA Admissions, and the Assistant Dean for MBA Admissions.
Requirements and Qualifications
Bachelor’s degree
2-4 years’ experience in data analysis, reporting, or institutional research
Strong skills in Excel and PowerPoint
Strong analytical, problem-solving, and critical-thinking skills
Ability to communicate complex data findings to non-technical audiences effectively
Proficiency in statistical concepts, data visualization and/or analysis tools and languages (e.g. SQL, R, Python, Tableau)
Strong information presentation skills, both in writing and in visuals (e.g. Word, PowerPoint, Tableau, Illustrator, etc.)
Experienced and comfortable presenting and facilitating conversations with senior or executive-level colleagues
Preferred qualifications (if applicable)
Statistical modeling experience
Bachelor’s degree in Management Information Systems, Business, or other disciplines that engendered an understanding of technology systems
Work Mode Designation
This position has been designated as Hybrid. Please note that work mode designations are regularly reviewed in order to meet the evolving needs of the University. Such review may necessitate a change to a position’s mode of work designation. Complete details about Georgetown University’s mode of work design
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