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.

Job Description Summary:

• 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.

Minimum Qualifications:

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.

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

College/School/Department: University Advancement

Hiring Range: $70,068.63 – $111,965.33

Work Schedule: Monday – Friday: 9AM-5PM

Employee Onsite Status: Hybrid