The Nonlinear Library EA - GiveWell is hiring a Head of Fundraising Operations and Analytics by GiveWell
Jun 4, 2024
01:13
Welcome to The Nonlinear Library, where we use Text-to-Speech software to convert the best writing from the Rationalist and EA communities into audio. This is: GiveWell is hiring a Head of Fundraising Operations and Analytics, published by GiveWell on June 4, 2024 on The Effective Altruism Forum.
We're hiring a Head of Fundraising Operations and Analytics to understand, analyze, and scale GiveWell's fundraising work. The Head of Fundraising Ops will define the research questions that we want to answer, design processes and a tech stack to collect information, and use creative qualitative and quantitative methods to analyze the data we obtain. They'll manage a small, efficient fundraising team and report to the Director of Development.
Competitive candidates have prior experience solving open-ended business questions with limited or incomplete data, and have previously developed efficient and scalable processes for others to implement. Management experience is a major plus. Professional backgrounds that might be a particularly strong fit include revenue operations, data analytics, market research, and consulting.
See compensation details and full job description and apply at the link above - please also share this job with anyone in your network who might be a good fit.
Thanks for listening. To help us out with The Nonlinear Library or to learn more, please visit nonlinear.org
We're hiring a Head of Fundraising Operations and Analytics to understand, analyze, and scale GiveWell's fundraising work. The Head of Fundraising Ops will define the research questions that we want to answer, design processes and a tech stack to collect information, and use creative qualitative and quantitative methods to analyze the data we obtain. They'll manage a small, efficient fundraising team and report to the Director of Development.
Competitive candidates have prior experience solving open-ended business questions with limited or incomplete data, and have previously developed efficient and scalable processes for others to implement. Management experience is a major plus. Professional backgrounds that might be a particularly strong fit include revenue operations, data analytics, market research, and consulting.
See compensation details and full job description and apply at the link above - please also share this job with anyone in your network who might be a good fit.
Thanks for listening. To help us out with The Nonlinear Library or to learn more, please visit nonlinear.org