Donor Data Insights Manager
$90,000–$100,000 year
Hybrid · Rancho Palos Verdes, California, United States
Job Summary
The Donor Data Insights Manager will lead the transformation of fundraising data into actionable insights utilizing tools such as Blackbaud CRM and Power BI. Key responsibilities include supervising the Donor Data Analyst, collaborating on data architecture with the Data Engineer, and ensuring data-driven decision-making within the fundraising programs. The role requires strong analytics skills, proficiency in Power BI, and at least 5 years of experience in business analysis or fundraising analytics. Candidates must possess a Bachelor's degree in a relevant field and demonstrate leadership and communication capabilities.
Required Qualifications
- Bachelor’s degree in Business Analytics, Data Science, Marketing Analytics, Statistics, Nonprofit Management, or a related field.
- 5+ years of experience in business analysis, fundraising/sales analytics, BI/reporting, or donor/customer insights.
- Proficiency with Power BI and experience querying data in Snowflake and SQL.
- Experience with BBCRM SDK and Amperity CDP for donor data integration and segmentation.
- Strong analytical skills with the ability to interpret complex datasets and translate them into clear recommendations.
- Demonstrated experience with donor/customer segmentation, retention analytics, and lifecycle modeling.
- Supervisory experience or demonstrated ability to lead and mentor analysts.
- Strong communication skills, both written and verbal.
- Ability to manage multiple projects and work collaboratively across teams.
- High attention to detail and a strong sense of data integrity.
Desired Qualifications
- Experience using AI tools for research, summarization, or donor intelligence.
- Familiarity with Blackbaud CRM (BBCRM) or similar fundraising CRM or ERP systems.
- Experience with wealth screening tools or donor intelligence platforms.
- Knowledge of predictive modeling, forecasting, or advanced analytics.
- Experience in nonprofit fundraising environments and understanding of donor engagement strategies.
- Familiarity with R or Python for advanced analysis (optional)
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