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Vandey provides outsourced instructional services to institutions of higher education and is seeking a candidate to work for Vandey to serve in a full-time role as a BI, Data & Analytics Director with the University of the People.INTRODUCTION:University of the People (UoPeople) is the first non-profit, tuition-free, American, accredited, 100% online university. Today, UoPeople has over 152,000 students enrolled from more than 200 countries and territories, including 18,800 students who are refugees. Currently UoPeople is accredited by the DEAC and WASC accreditation.We believe that higher education is a basic human right and that it can transform not only the lives of students, but also their families' lives, their communities, their nations, and, by extension, the world. See President Reshef’s TED talk when he announced the founding of the University.[ TED talk ]UoPeople is an innovative university, and we welcome team members who bring creativity and innovation to their roles. We’re a fast-paced organization with remote teams all around the globe. If you’re a self-starter who wants to succeed alongside a passionate team, we’d love to hear from you!UoPeople is supported by the generosity of individuals and foundations, including the Gates, Hewlett, Ford Foundations, Foundation Hoffmann, and others. The University has been covered by the New York Times, BBC, NPR, Times Higher Education, US News and World Report, and more. President Reshef’s TED Talk and Nas Daily interview about the University have 30 million views combined.REPORTS TO: VP for Strategy, Planning and DataGENERAL PURPOSE:As a virtual University, we operate in a world of data which gives us a unique opportunity to gain insights, improve operations, and help our students succeed through data-driven analysis and decision making. University of the People is seeking a BI/Analytics Director to lead our BI/Analytics Group :In this role, you’ll shape our data and analytics strategy, overseeing data-driven initiatives that inform decision-making across the organization. You’ll partner with stakeholders to deliver actionable insights, develop reporting capabilities, and drive continuous improvements in data collection and analysis processes.ESSENTIAL FUNCTIONS/RESPONSIBILITIES:Team Management: Lead and mentor a team of data analysts and data scientists, fostering a culture of collaboration and growth. Develop team skills in data visualization, data modeling, and statistical analysis techniques. Formulate and implement management techniques for quality data collection, to ensure adequacy, accuracy, and legitimacy of data. Manage the intake of data requests to the team.Stakeholder Engagement: Collaborate with cross-functional leaders (e.g., Marketing, Enrollment, Academic Affairs, Operations) to identify key institutional questions and create data solutions. Analytics & Reporting: Oversee the development of dashboards, KPI reports, and data visualizations. Drive the implementation of self-service Power BI dashboards for end-users to access data independently. Single Source of Truth/Quality: Work closely with Data Engineering teams to establish our Datawarehouse as the single source of truth while continuously developing the University data dictionary. Support and train data analysts with centralization of data processing logic in the DWKEY COMPETENCIES:Strong data analytics and reporting skills using Power BIPrevious experience with agile project management practices to manage analytics sprints and iterative development. problem-solving skillsAbility to work remotely as part of an international teamInsights on the use of AI techniques and tools to enhance analytical capabilitiesQUALIFICATIONS:BSc/BA in Computer Science, Statistics, Data Management or a related field Fluent English 7+ years’ experience in data analytics, reporting and database management5+ years of team management experienceAdvanced knowledge of data analysis, statistical modeling, data manipulation, and reporting techniques (including Excel, SAS, Python, SQL) Advanced Experience working with Power BIUnderstanding of Data Modeling/Architecture and Data Warehousing systems required