Senior Manager, Fundraising Data & Analytics

at  Wikimedia Foundation

SUMMARY

The Wikimedia Foundation is the non-profit organization that operates Wikipedia – one of the most popular websites in the world, serving nearly half a billion users every month. It is the only non-profit in the top 50 websites, supported by a community of millions of individual donors. Join the Wikimedia Foundation in our ambitious project to empower people to create and share the sum of all human knowledge.
We are looking for a Senior Manager, Fundraising Data & Analytics to lead the team who are responsible for managing and evolving our data and analytics practice. The Senior Manager will lead the design, implementation, and maintenance of the data systems, processes and analytics underpinning the Wikimedia Foundation’s fundraising program. This includes data controls, training, reporting and analysis, for Digital, Direct Mail, Major Gifts and Endowment fundraising. The Senior Manager will continually assess the data needs for the team and recommend and implement improvements to products, systems and processes. They will play a leading role in structuring, measuring and analyzing donor and income trends to inform fundraising strategy and decision making. This role requires a strong data and analytics acumen and a solid understanding of fundraising strategies. The right candidate will have an inquisitive approach to understanding the power and limitations of data, and will bring an innovative sensibility to how the organization can apply data-driven techniques to grow fundraising revenue.
As the Senior Manager, Fundraising Data & Analytics, you will join the Fundraising Team which is responsible for raising over $185M annually. In this role, you will help set a vision for the Wikimedia Foundation’s fundraising data and analytics practice. You will be joining at an exciting time, as the Data and Analytics Team is currently modernizing tooling and technology.

SKILLS AND EXPERIENCE:

• 8+ years spent in a leadership role managing Data Scientists and Analysts.
• Master’s degree in Statistics, Data Science, Mathematics, Computer Science or related quantitative field preferred.
• Understanding of fundraising strategies and best practices preferred.
• Experience with statistical methods, machine learning techniques, and A/B testing in service of solving business challenges.
• Mastery of SQL, with working knowledge of CRUD operations and dynamic SQL
• Proficiency in languages/tools for data ELT processes (Python, dbt) and performance optimization in and around these systems.
• Knowledge around database architecture principles (i.e., data models, layers, etc.)
• Excellent organizational and communication skills (writing, verbal and presentation).
• Demonstrated ability to manage multiple projects and deadlines to achieve program goals.
• Strong communication skills and the ability to communicate effectively with donors, vendors, and team members.
• Strong experience with modern data analysis tools and platforms.