1) Reporting to the Director of International Partnerships and Executive Education, the Assistant Director of Data Analytics will primarily focus on four areas: data, process, analysis and reporting.
2) Produce both operational and predictive data analysis, generate progress reports, and provide data insights for the 10+ degree and non-degree programs at Harris to achieve the student recruitment and enrollment goals and identify areas of operational continuous improvement across the Student Recruitment and Global Outreach (SRGO) team.
3) This is a data-driven role, requiring a strong quantitative orientation, stakeholder management and multi-task ability.
4) Identify and form best practices and Key Performance Indicators (KPI) across the entire student recruitment funnel (from inquiry to enrolled status) and from various aspects (e.g. by effort type, by program, by sub-population etc.) to drive the SRGO teamâ™s outreach effectiveness.
5) Build and optimize predictive data analytics models on the impact of financial aids and outreach effort on enrollment and yield results by program and by sub-population to support SRGO team throughout each key recruitment milestone (committee review, scholarship consideration, competing offer comparison, yield, anti-melt) to support team members to make more accurate decisions.
6) Develop and own real-time dashboards and weekly reports for both internal SRGO team use and cross-functional reporting/collaboration in Tableau, excel/google sheets and powerpoint formats; develop working knowledge of the database and reporting system within SRGO to improve data recording and database structure for continuous improvement in operations.
7) Provide decision support and work closely with SRGO Directors and Associate Director of Recruitment Operations & Analytics for program recruitment target tracking, status flagging, and identify new ways to improve the existing admissions system (Slate) and other internal tracking systems (Salesforce).
8) Measure and monitor compliance to standard recruitment processes and best practices across various systems/platforms being used by SRGO.
Unit Preferred Competencies
1) Good business and financial acumen.
2) Great attention-to-detail level and process-oriented work style.
3) Strong desire to learn new things and demonstrated ability to identify opportunities and provide constructive suggestions for continuous improvement.
4) Self-manage time and work schedule in a multi-tasking environment.
5) Agile communication style and active listening skills to work with different stakeholders.
1) Bachelorâ™s degree in a quantitative-oriented social sciences field.
2) Masterâ™s degree.
Technical Knowledge and Skills
1) At least two years of related data analysis experience.
2) Proficiency in programming languages (R, Python, SQL).
3) Proficiency in statistical and regression analysis.
4) Proficiency in data visualization tool e.g. Tableau.
5) Familiarity with Slate and Salesforce.
2) Cover Letter
3) Reference Contact Information
NOTE: When applying, all required documents MUST be uploaded under the Resume/CV section of the application.
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