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. Notify me of jobs like this