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Associate Director, Business Intelligence

Company: Princeton University
Location: Princeton
Posted on: March 16, 2023

Job Description:

Reporting to the Assistant Vice President, Data Strategy & Innovation, 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 of the Advancement Office. In addition to supervising two Business Intelligence Analysts, this position will report to the Assistant Vice President, Data Strategy & Innovation and serve as a liaison to other senior members of Data Strategy & Innovation; participate in strategic policy development, and work to successfully execute special projects in support of the University Fundraising operation. The Office of Analytics & Data Management (ADM) plays a critical strategic role within University Advancement, providing the analytical framework, data architecture, application development and tools for data-driven decision making at all levels of the organization. Technical production

  • Development and presentation of accurate, methodologically rigorous analysis utilizing data visualization software (e.g., Tableau), Cognos, statistical packages (e.g., R) and other appropriate technical applications.
  • Oversee project management for business intelligence projects and initiatives. Collaborate with the ADM Director to determine strategy, priorities and assignments for departmental efforts. Interact with senior members of the Development staff to initiate and execute requests.
  • Ensure a consistent look and feel, quality assurance and best practices among analysts' products in alignment with business needs.
  • Work with business users to define desired outcomes and business requirements of analyses, data visualization and other reporting; conduct end user training in BI tools as needed.
  • Develop and maintain proficiency in using advanced analytic and database tools, internet resources Management
    • 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 ADM staff and with other groups within Advancement and the University. Policy & process improvement
      • Identify critical process improvement areas for the Office and collaborate in developing procedures and procedures for enhancing a high level of customer service.
      • Working with the ADM Director and as a liaison of Data Strategy & Innovation to provide an effective and efficient business intelligence structure and environment. Review and recommend use of new technologies, vendor services and information sources. Keep abreast of news and relevant industry trends in support of the Office of Advancement.
      • Working closely with data management team members, conceive of and contribute to strategies and best practices in maintaining a comprehensive, reliable, and innovative data environment.
        • Bachelor's degree
        • Experience in designing business intelligence solutions through use of data visualization software required (Tableau preferred). Aptitudes toward bringing together the art and science of data visualization in order to uncover trends, realize insights, explore sources, and tell stories. Analytical acumen necessary to interpret and manage data.
        • Experience with statistical programs, data mining, and comprehensive analysis required.
        • Five to ten years of professional experience required in an analytical or information specialist role within an academic, nonprofit, corporate or consulting setting.
        • Proficiency at planning and setting meaningful objectives to meet office goals. Ability to articulate and promote goals and implement strategic plans.
        • Strong interpersonal skills; as well as strong initiative and self-motivation and the ability to work both independently and manage teams within a customer-service oriented environment.
        • Excellent written/oral/interpersonal communication skills in order to: identify and articulate business challenges, project objectives, and analytical approach.
        • Organizational skills to handle several projects simultaneously, accommodate shifting priorities, and meet deadlines.
        • Understanding of data warehousing and experience with ETL tools (such as SyncSort DMX) preferred.
        • Advanced proficiency in the Microsoft Office, in particular thorough knowledge of Excel and PowerPoint.
        • Ability to maintain strict confidentiality and handle sensitive information and material in a discretionary manner.
        • Understanding of philanthropy (mission, practice, trends) and fundraising practices (the development cycle, prospect management policies and practices) preferred.
        • Commitment to University Advancement's mission to inform, involve, and inspire Princeton's global community of alumni and friends, and adhering to its guiding principles of High Performance, Innovation, Civility, and Collaboration. Preferred Qualifications
          • Prior business or technical staff management experience in delegating, planning and mentoring to ensure staff meet and exceed expectations.
          • Knowledge of Princeton's mission
          • Experience in higher education
          • Advanced degree
          • Experience with relational databases, data warehousing and data extraction tools (such as SQL) Princeton University is an Equal Opportunity/Affirmative Action Employer and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law. KNOW YOUR RIGHTS 36.25

            180 days



Keywords: Princeton University, Trenton , Associate Director, Business Intelligence, Executive , Princeton, New Jersey

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