New

Senior Data Analyst, Annual Giving

George Washington University

United States, D.C., Washington

Oct 19, 2026

I. JOB OVERVIEW

Job Description Summary:	The Senior Data Analyst, Annual Giving plays a critical role in optimizing annual giving strategies through data-driven insights. Reporting to the Assistant Vice President, Annual Giving, this position leverages descriptive, predictive, and prescriptive analytics to drive donor acquisition, retention, and upgrade strategies across all annual giving channels. Performance Reporting & Dashboards: Collaborate with Advancement Operations to design, build, and maintain interactive dashboards to track campaign KPIs, revenue projections, and annual giving metrics for advancement leadership. Campaign Analytics & Segmentation: Build, test, and refine audience segmentation models for annual giving campaigns to maximize response rates and return on investment (ROI). Predictive Modeling: Develop and maintain propensity models (e.g., likelihood to give, retention risk, major gift pipeline identification) using statistical and machine learning techniques. A/B Testing & Optimization: Design, execute, and analyze A/B and multivariate tests across marketing channels to continuously optimize donor engagement and conversion. Data Hygiene: Partner with Advancement Services, Communications, and IT to ensure high data integrity, streamline ETL pipelines, and integrate new external data sources into the CRM. Performs other related duties as assigned. The omission of specific duties does not preclude the supervisor from assigning duties that are logically related to the position.
Minimum Qualifications:	Qualified candidates will hold a Bachelor's degree in an appropriate area of specialization plus 5 years of relevant professional experience, or, a Master's degree or higher in a relevant area of study plus 3 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.
Additional Required Licenses/Certifications/Posting Specific Minimum Qualifications:
Preferred Qualifications:	Master's Degree preferred. Bachelor's degree in Data Analytics, Statistics, Computer Science, Economics, or a related field is desired. 3 - 5+ years of experience in data analysis, predictive modeling, or business intelligence-preferably within higher education advancement, non-profit fundraising, or direct response marketing is preferred. Advanced SQL; experience with statistical computing (Python or R); proficiency in data visualization tools (Power BI preferred) Hands-on experience with advancement CRMs (e.g., Salesforce Education Cloud, Blackbaud CRM, Ellucian CRM Advance, or Raiser's Edge) is desired. Strong ability to translate complex technical/statistical findings into clear, actionable business insights for non-technical stakeholders
Hiring Range	$70,068.63 - $111,965.33
GW Staff Approach to Pay	How is pay for new employees determined at GW?

Healthcare Benefits

GW offers a comprehensive benefit package that includes medical, dental, vision, life & disability insurance, time off & leave, retirement savings, tuition, well-being and various voluntary benefits. For program details and eligibility, please visit https://hr.gwu.edu/benefits-programs.

II. JOB DETAILS

Campus Location:	Foggy Bottom, Washington, D.C.
College/School/Department:	University Advancement
Family	Information Technology
Sub-Family	Functional Data Analysis
Stream	Individual Contributor
Level	Level 3
Full-Time/Part-Time:	Full-Time
Hours Per Week:	40
Work Schedule:	Monday - Friday: 9AM-5PM
Will this job require the employee to work on site?	Yes
Employee Onsite Status	Hybrid
Telework:	Yes
Required Background Check:	Criminal History Screening, Education/Degree/Certifications Verification, Social Security Number Trace, and Sex Offender Registry Search
Special Instructions to Applicants:	Employer will not sponsor for employment Visa status
Internal Applicants Only?	No
Posting Number:	S014527
Job Open Date:	10/19/2026
Job Close Date:
If temporary, grant funded, Sponsored Project funded or limited term appointment, position funded until:
Background Screening	Successful Completion of a Background Screening will be required as a condition of hire.
EEO Statement:	The university is an Equal Employment Opportunity 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.