Associate Director, Business Intelligence
Main Princeton, Princeton, NJ
Main Princeton, Princeton, NJ
Overview
Reporting to the Director of Data & 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 & 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.
In addition to supervising Business Intelligence Analysts, this position will report to the Director of Data & 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.
This is a hybrid role in Princeton, NJ.
Data reporting & visualization:• Develop business intelligence and analytic solutions. Use data visualization software (Salesforce Lightning, CRM-A & Tableau) and predictive modeling tools (such as R or SAS) 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 DS&I staff and with other groups within Advancement and the University. • Oversee project management for business intelligence projects and initiatives.
Collaborate with the Data & Analytics Director to determine strategy, priorities and assignments for departmental efforts. Interact with Advancement staff to initiate and execute requests.• Working with the Data & Analytics Director and as a liaison 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, keeping 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, meeting project deadlines.
Director
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The University considers factors such as (but not limited to) scope and responsibilities of the position, candidate's qualifications, work experience, education/training, key skills, market, collective bargaining agreements as applicable, and organizational considerations when extending an offer. The posted salary range represents the University's good faith and reasonable estimate for a full-time position; salaries for part-time positions are pro-rated accordingly.
If the salary range on the posted position shows an hourly rate, this is the baseline; the actual hourly rate may be higher, depending on the position and factors listed above.
The University also offers a comprehensive benefit program to eligible employees. Please see this link for more information.
Standard Weekly Hours 36.25
Eligible for Overtime No
Yes
Probationary Period 180 days
Essential Services Personnel (see policy for detail) No
Physical Capacity Exam Required No
Valid Driver’s License Required No
$136,000 to $150,000
Princeton University is an Equal Opportunity 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.
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This base pay is below the median for director-level data and business analysis jobs in other US places.
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