About the Role
Leads data initiatives to optimize fundraising and marketing performance by building models, improving analytics, and guiding strategy with insights derived from large-scale data systems.
Responsibilities
- Lead the development of data models to forecast donor behavior and campaign outcomes
- Design and implement analytics frameworks to measure marketing effectiveness
- Collaborate with marketing teams to identify key performance indicators
- Oversee data pipeline architecture for fundraising and donor engagement systems
- Translate business questions into data-driven research projects
- Manage A/B testing strategies for campaign optimization
- Ensure data accuracy and consistency across reporting platforms
- Develop dashboards and automated reports for leadership review
- Guide segmentation strategies using statistical analysis
- Improve data collection methods for donor interactions
- Support budget planning with predictive modeling
- Identify trends in donor retention and acquisition patterns
- Work with engineers to integrate data sources
- Maintain documentation for data models and processes
- Ensure compliance with data privacy standards
- Mentor junior analysts and data specialists
- Present findings to non-technical stakeholders
- Evaluate third-party data vendors for integration
- Optimize database queries for performance and scalability
- Align data strategy with organizational fundraising goals
Nice to Have
- Master's degree in a relevant quantitative discipline
- Experience with machine learning applications in marketing
- Background in nonprofit or international development sectors
- Knowledge of CRM systems used in donor management
- Experience with fundraising platforms or email marketing tools
- Familiarity with data governance practices
- Public portfolio of data projects or publications
Compensation
Competitive salary and benefits package
Work Arrangement
Remote
Team
Part of the data team working closely with fundraising and marketing departments
Impact
- Contribute to evidence-based strategies that increase donor engagement and funding for direct cash transfer programs
- Shape data practices that support large-scale poverty alleviation efforts
Technology Stack
- Uses BigQuery for data storage and analysis
- Leverages Looker for reporting and dashboarding
- Relies on Python and R for statistical modeling
- Integrates data from Salesforce and email marketing platforms
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