Senior Data Analyst, Annual Giving

George Washington University; Washington (District of Columbia); Hybrid; USD 70,000 - 112,000; Full time

Benefits offered by this job

Healthcare benefits

Tuition reimbursement

Hybrid work

Job summary

George Washington University is seeking a Senior Data Analyst for Annual Giving to optimize donor acquisition, retention, and upgrade strategies through data-driven insights. The role focuses on dashboards, segmentation, predictive modeling, and rigorous A/B testing across channels.

The position reports to the AVP, Annual Giving and requires strong SQL, Python or R, and Power BI skills, with experience in major advancement CRMs. Hybrid onsite work in Washington, DC.

Qualifications

• Bachelor's degree in a relevant field with 5 years of experience, or a Master's degree with 3 years of experience.
• Degree requirements may be substituted with an equivalent combination of education, training and experience.
• Master's Degree preferred.
• Bachelor's in Data Analytics, Statistics, CS, Economics, or related field is desired.
• 3–5+ years of data analysis, predictive modeling, or business intelligence in higher education fundraising or direct marketing.

Responsibilities

• Performance Reporting & Dashboards: design, build, and maintain interactive dashboards tracking KPIs and revenue projections.
• Campaign Analytics & Segmentation: build and refine audience models to maximize ROI.
• Predictive Modeling: develop propensity models using statistical and ML techniques.
• A/B Testing & Optimization: design, execute, analyze tests to optimize engagement and conversions.
• Data Hygiene: ensure data integrity, streamline ETL, integrate external data into CRM.

Skills

Advanced SQL

Python or R

Power BI

Data storytelling

Stakeholder communication

Education

Bachelor's degree in data analytics or related field

Master's degree preferred

Tools

Salesforce Education Cloud

Blackbaud CRM

Ellucian CRM Advance

Raiser's Edge

Job description

I. JOB OVERVIEW

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.

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

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.

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

Background Screening: Successful Completion of a Background Screening will be required as a condition of hire.

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.