Associate Director, Business Intelligence

Employer
Princeton University
Location
New Jersey, United States
Salary
Not specified
Closing date
Dec 7, 2021

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Position Type
Fundraising, Alumni Affairs
Fields
Education
Employment Type
Full Time


Reporting to the Director of Analytics & Data Management, the Associate Director of 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 University Advancement. The department of Analytics & Data Management (ADM) 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.

In addition to supervising Business Intelligence Analysts, this position will report to the Director of ADM and serve as a liaison to other senior members of Advancement, participate in strategic policy development, and work to successfully execute special projects in support of the Advancement enterprise.



Responsibilities
Data reporting & visualization
  • Develop business intelligence and analytic solutions. Use data visualization software (Tableau preferred) to analyze and communicate complex data and information clearly and efficiently to users.
  • 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.
  • Develop and maintain proficiency in using advanced analytic and database tools, internet resources, in-house data, and other references.
  • Ensure a consistent look and feel, quality assurance and best practices among analysts' products in alignment with business needs.
Team and Project 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.
  • 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 Advancement staff to initiate and execute requests.
  • Working with the ADM Director and as a liaison for ADM to provide an effective and efficient business intelligence structure and environment for University Advancement. Review and recommend use of new technologies, vendor services and information sources, keep abreast of news and relevant industry trends.
Team & business user collaboration

  • Working closely with data warehousing team members, conceive of and contribute to strategies and best practices in maintaining a comprehensive, reliable, and innovative data environment.
  • Work with business users to define desired outcomes and business requirements of analyses and dashboards; Conduct end user training in BI tools as needed.
  • Identify critical process improvement areas for the Office and collaborate in developing procedures and solutions for enhancing a high level of customer service.
Ad-hoc projects and data quality

  • Ensure data quality by identifying and communicating appropriate changes and updates to the Alumni and Donor Records department.
  • Participate in department projects and initiatives; assist with special projects as required, meet project deadlines.
Qualifications

  • Bachelor's degree with five to ten years of professional experience required in an analytical or information specialist role within an academic, nonprofit, corporate or consulting setting.
  • 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.
    • Prior business or technical staff management experience in delegating, planning and mentoring to ensure staff meet and exceed expectations. Management of staff or high-level project management required.
    • 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 cloud data warehousing and experience with ETL tools (such as Matillion and Snowflake) a plus.
  • Experience with relational databases and data extraction tools (such as SQL) a plus. 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 discrete manner.
  • Preferred Qualifications:

  • Understanding of philanthropy (mission, practice, trends) and fundraising practices (the development cycle, prospect management policies and practices and engagement).
  • 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. EEO IS THE LAW

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