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 storage, using Apache Iceberg table format and Trino as query engine. Code reviews are currently in Gerrit and moving to GitLab.
You are responsible for:
- Delivering insights and analysis on global fundraising campaigns and fundraising strategic objectives to fundraising teams
- Developing and tracking key performance indicators across different fundraising channels
- Partnering with colleagues in fundraising and finance on multi-year revenue forecasting
- Delivering reporting, statistical analysis, and guidance on testing within our iterative A/B testing program
- Modeling the data upstream of your reporting and analysis, cleaning and transforming it in dbt
- Peer reviewing your teammates’ work to ensure data quality and interpretability
Some examples of the work you may do in the role:
- Building and maintaining a donor propensity model to drive revenue across the fundraising program
- Building out donor segments in an audience-building tool such as Hightouch
- Building a model to personalize ask amount for a donor
Skills and Experience:
Subject matter expertise
- Experienced in fundraising analytics, ideally in a large, international fundraising program
- Experience analyzing digital marketing campaigns
Technical skills
- Highly proficient in SQL for data modeling and analytical queries
- Skilled in developing clear data visualizations in a business intelligence platform
- Practical statistical expertise for designing experiments and drawing valid conclusions from experimental results
- Comfortable working with Python for more advanced calculations or analysis
- Experience using predictive modeling to answer “business” questions
- Experience efficiently troubleshooting SQL queries and pipelines to find the root cause of a data anomaly
Collaboration
- Comfortable with giving and receiving code reviews through git (GitLab, GitHub, Gerrit, etc.)
- A record of clearly documenting your work for the benefit of your teammates and stakeholders
- A record of estimating work accurately and surfacing obstacles to on-time delivery in a timely way
- A practice of reaching out for support when stuck or blocked
- A growth mindset, enjoy experimenting with new tools and methods
- Excellent verbal and written communication skills including the ability to clearly communicate technical concepts to non-technical stakeholders
- Experience in a remote work environment
Qualities that are important to us:
- Strong mission fit with the Wikimedia movement (e.g., freedom of speech, knowledge for everyone, community sharing)
- Strong value fit with Wikimedia Foundation values (e.g., collaboration, curiosity, knowledge sharing)
- Ability to work effectively across cultures
Additionally, we’d love it if you have:
- Experience with open source technologies and communities
About the Wikimedia Foundation
The Wikimedia Foundation is the nonprofit organization that operates Wikipedia and the other Wikimedia free knowledge projects. Our vision is a world in which every single human can freely share in the sum of all knowledge. We believe that everyone has the potential to contribute something to our shared knowledge, and that everyone should be able to access that knowledge freely. We host Wikipedia and the Wikimedia projects, build software experiences for reading, contributing, and sharing Wikimedia content, support the volunteer communities and partners who make Wikimedia possible, and advocate for policies that enable Wikimedia and free knowledge to thrive.
The Wikimedia Foundation is a charitable, not-for-profit organization that relies on donations. We receive donations from millions of individuals around the world, with an average donation of about $15. We also receive donations through institutional grants and gifts. The Wikimedia Foundation is a United States 501(c)(3) tax-exempt organization with offices in San Francisco, California, USA.
As an equal opportunity employer, the Wikimedia Foundation values having a diverse workforce and continuously strives to maintain an inclusive and equitable workplace. We encourage people with a diverse range of backgrounds to apply. We do not discriminate against any person based upon their race, traits historically associated with race, religion, color, national origin, sex, pregnancy or related medical conditions, parental status, sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, or any other legally protected characteristics.
The Wikimedia Foundation is a remote-first organization with staff members including contractors based 40+ countries*. Salaries at the Wikimedia Foundation are set in a way that is competitive, equitable, and consistent with our values and culture. The anticipated annual pay range of this position for applicants based within the United States is US$106,227 to US$167,858 with multiple individualized factors, including cost of living in the location, being the determinants of the offered pay. For applicants located outside of the US, the pay range will be adjusted to the country of hire. We neither ask for nor take into consideration the salary history of applicants. The compensation for a successful applicant will be based on their skills, experience and location.
*Please note that we are currently able to hire in the following:
US States: Arizona, California, Colorado, Connecticut, District of Columbia*, Florida, Georgia, Idaho, Illinois, Indiana, Iowa, Maryland, Massachusetts, Michigan, Minnesota, Missouri, New Jersey, New Mexico, New York, North Carolina, Ohio, Oklahoma, Oregon, Pennsylvania, Puerto Rico*, Rhode Island, Tennessee, Texas, Utah, Vermont, Virginia, Washington, West Virginia, Wisconsin and Wyoming (*US Territory or Federal District)
Countries: Brazil, Canada, Colombia, France, Germany, Ghana, India, Indonesia, Italy, Kenya*, Mexico, Morocco, Netherlands, Poland, Singapore*, South Africa, Spain, Switzerland and the United Kingdom. Our non-US employees are hired through a local third party Employer of Record (EOR) and must have current work authorization in their location. (*native citizens/permanent residents only)
We periodically review this list to streamline to ensure alignment with our hiring requirements.
All applicants can reach out to their recruiter to understand more about the specific pay range for their location during the interview process.
If you are a qualified applicant requiring assistance or an accommodation to complete any step of the application process due to a disability, you may contact us at recruiting@wikimedia.org or +1 (415) 839-6885.
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