Associate Director, Business Intelligence

<p><strong>Associate Director, Business Intelligence</strong></p> <p><strong>Department</strong></p> <p>Adv-Data &amp; Analytics</p> <p><strong>Category</strong></p> <p>Information Technology</p> <p><strong>Job Type</strong></p> <p>Full-Time</p> <p><strong>Overview</strong></p> <p>Reporting to the Director of Data &amp; Analytics, the Associate Director, Business Intelligence is responsible for directing and producing time-sensitive reporting and analytical needs, addressing business questions through dynamic and thoughtful business intelligence and contributing to the effectiveness and efficiency of the daily operations University Advancement. The department of Data &amp; Analytics plays a critical strategic role within Advancement, providing the analytical framework, data architecture, application development and tools for data-driven decision making at all levels of the organization. This position is a hands-on technical role.</p> <p>In addition to supervising Business Intelligence Analysts, this position will report to the Director of Data &amp; Analytics and serves as a liaison to other senior members of Advancement; participates in strategic policy development, and works to successfully execute special projects in support of the Advancement enterprise.</p> <p>This is a hybrid role in Princeton, NJ.</p> <p><strong>Responsibilities</strong></p> <p><strong>Data reporting &amp; visualization:</strong><br>• Develop business intelligence and analytic solutions. Use data visualization software (Salesforce Lightning, CRM-A &amp; Tableau) and predictive modeling tools (such as R or SAS) to analyze and communicate complex data and information clearly and efficiently to users.<br>• Conduct high quality data analysis; analyzing, interpreting and synthesizing information; and preparing the presentation of data to support analytics, prospect research, prospect management and the strategic decision making of the Office.<br>• Develop and maintain proficiency in using advanced analytic and database tools, internet resources, in-house data, and other references.<br>• Ensure a consistent look and feel, quality assurance and best practices among analysts’ products in alignment with business needs.</p> <p><strong>Team and Project management:</strong><br>• Recruit, mentor and direct the development of business intelligence analysts: including setting performance standards and measures; providing appropriate levels of training, mentoring and professional development; and fostering a strong sense of teamwork and cross-functional communication and collaboration among direct reports, the DS&amp;I staff and with other groups within Advancement and the Unive