Senior Advancement Analytics Specialist

• Produces meaningful analysis, strategic insight, and cross-program analyses to identify trends and show overall impact and performance, as well as to make recommendations to optimize resources throughout the organization.
• Evaluates and interprets fundraising data related to school and unit fundraising performance and produces weekly, monthly and campaign fundraising status updates for management review.
• Develops and implements a cohesive strategy for analytics using analytic platforms available in the university and acts as a change agent/data asset champion to manage the use of data to drive strategic business decisions and growth.
• Develops and implements best practices related to analytics and data governance - proactively identifying opportunities to streamline processes and increase accuracy and efficiency, and establishing, documenting, and updating related policies and procedures as necessary.
• Understands the expectations of the different development units - e.g., major gifts, annual gifts, planned gifts - and alumni relations to ensure capabilities exist to support any ad hoc projects to help them with day-to-day business issues from a data and analytics perspective.
• Serves as a strategic partner and internal consultant to fundraising programs and colleagues across the department and institution, providing evaluative and consultative services, as needed.
• Evaluates data sources for relevance, integrity, and accuracy. Identifies issues and collaborates with GWIT on solutions to data management challenges.
• Designs and prepares presentations for leadership meetings and external constituents forums on fundraising information. Prepare presentation notes for presenter.
• Conducts industry-benchmarking analysis to identify best practices and fundraising performance or capability gaps.

Qualified candidates will hold a Bachelor's degree in an appropriate area of specialization plus 7 years of relevant professional experience, or, a Master's degree or higher in a relevant area of study plus 5 years of relevant professional experience. Degree must be conferred by the start date of the position. Degree requirements may be substituted with an equivalent combination of education, training and experience.

• Experience in predictive analytics including demonstrated proficiency in performing statistical analyses is preferred.
• Ability to compile, report, and analyze information from diverse sources to explain, illustrate, and highlight key points to achieve results is desired.
• Excellent oral and written communication skills, as well as strong interpersonal skills. Adept at framing business questions and practices in analytic terms and synthesizing business requirements from multiple stakeholders.
• Experience communicating technical results to both technical and non-technical audiences is desired.
• Candidates are organized, creative, energetic, and assertive.
• Exceptional work ethic and commitment

How is pay for new employees determined at GW?

The university is an Equal Employment Opportunity/Affirmative Action employer that does not unlawfully discriminate in any of its programs or activities on the basis of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or expression, or on any other basis prohibited by applicable law.