SENIOR ANALYST, FUNDRAISING DATA & ANALYTICS (CONTRACT)
Duration: One-year contract
Location: Remote, Preferred that the candidate be based between UTC−05:00 and UTC+00:00
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. The Foundation is the only non-profit among the top 50 websites, and is 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.
The fundraising team at the Wikimedia Foundation conducts worldwide campaigns across nearly 40 countries and 20 languages, collecting donations to support the Wikimedia Foundation’s mission to empower and engage people around the world with free knowledge. The Fundraising Operations team has an opening for a senior data analyst on our team, to support data-driven decisions to improve the effectiveness of our fundraising strategies, while staying true to our values of openness, transparency, and respect of user privacy. This role will be a full-time (40 hours/week) contractor position.
As a Senior Data Analyst, you’ll be part of a small and collaborative analytics team with an analytics engineer and two fellow analysts, supported by the Senior Manager, Fundraising Data & Analytics as well as a data engineer on the adjacent fundraising technology team. This team supports our fundraising teams, from online fundraising to donor relations and major gifts. We organize our work in two-week sprints, with consistent backlog reviews, sprint plannings, mid-sprint reviews, and sprint retros.
You’ll be joining at an important juncture for both the analytics team and the Foundation. We’ve recently completed an infrastructure migration to a more performant analytics stack and equipped our stakeholders with a self-serve reporting platform, so we’re well set up for working on the most important questions to fundraising. The web traffic landscape is changing quickly, and Wikimedia continues to diversify its fundraising channels and evaluate new approaches. Analytics partners in this work by modeling scenarios, giving fundraising teams visibility and alerting into trends, advising on experiments for evaluating new strategies, bringing in and modeling new data sources, and doing timely ad hoc analysis so that teams can quickly learn and iterate.
Our updated stack includes dbt, Metabase, and Jupyter notebooks. Our lakehouse data infrastructure is built on MinIO for sto