Data Analyst, Fundraising

San Francisco, CA or Remote Advancement


The fundraising team at the Wikimedia Foundation conducts worldwide campaigns across nearly 40 countries and 20 languages, collecting small donations (averaging about $15) as well as larger offline donations to support the Wikimedia Foundation’s mission to empower and engage people around the world with free knowledge.

The Fundraising team is looking for an experienced Data Analyst to support the process of making 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. The Data Analyst will lead the analytics work for the fundraising department and help inform the team’s strategic direction by generating actionable insights using a variety of big data sources, including donation, email engagement, and pageview data from our global fundraising campaigns. 

We’d like you to do these things:   

  • Supporting the Operations, Major Gifts, Endowment and Online Fundraising teams with analytics needs, managing priorities and delivering actionable insights to a range of stakeholders within the department
  • Managing multiple analytics projects while evaluating the ROI and impact of each project in order to effectively prioritize the department’s analytics needs
  • Monitoring global fundraising campaigns and identifying high-level trends across user segments and time periods
  • Forecasting trends for revenue and fundraising targets
  • Providing statistical guidance and interpretation of individual tests within our iterative A/B testing program
  • Developing, documenting, and disseminating data visualizations, reports, and dashboards
  • Implementing process improvements that increase the efficiency of our data collection and monitoring

We’d like you to have these skills:

  • Bachelor’s or Master’s degree in computer science, statistics, mathematics, operations research, behavioral science, economics, or a related quantitative field
  • 5+ years in a data analyst role
  • Significant experience applying statistical methods to real-world data
  • Excellent problem-solving skills, critical thinking and conceptual thinking abilities
  • Fluency with scientific computing tools and programming languages for data analysis and visualization (e.g., Python, R)
  • A strong working knowledge of SQL
  • Basic understanding of hypothesis testing and confidence intervals
  • Excellent verbal and written communication skills as well as the ability to clearly communicate technical concepts to non technical stakeholders
  • Excellent time and project management skills
  • Strong eye for detail and a passion for quickly delivering results for rapid action
  • Ability to work in an open, transparent and collaborative environment
  • Experience managing a small team 
  • Proven ability to manage, organize and prioritize multiple projects and work collaboratively, as well as independently, to deliver results
  • Ability to adapt quickly and easily to changing requirements in a data driven, fast-paced, tech-based non-profit organization

And it would be even more awesome if you have this:

  • Proven ability to work with big data tools such as Hadoop, Hive, and Spark
  • Experience with digital marketing or fundraising campaigns

The Wikimedia Foundation is... 

...the nonprofit organization that hosts and 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, free of interference. We host 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 financial support 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.

The Wikimedia Foundation is an equal opportunity employer, and we encourage people with a diverse range of backgrounds to apply

U.S. Benefits & Perks*

  • Fully paid medical, dental and vision coverage for employees and their eligible families (yes, fully paid premiums!)
  • The Wellness Program provides reimbursement for mind, body and soul activities such as fitness memberships, baby sitting, continuing education and much more
  • The 401(k) retirement plan offers matched contributions at 4% of annual salary
  • Flexible and generous time off - vacation, sick and volunteer days, plus 19 paid holidays - including the last week of the year.
  • Family friendly! 100% paid new parent leave for seven weeks plus an additional five weeks for pregnancy, flexible options to phase back in after leave, fully equipped lactation room.
  • For those emergency moments - long and short term disability, life insurance (2x salary) and an employee assistance program
  • Pre-tax savings plans for health care, child care, elder care, public transportation and parking expenses
  • Telecommuting and flexible work schedules available
  • Appropriate fuel for thinking and coding (aka, a pantry full of treats) and monthly massages to help staff relax
  • Great colleagues - diverse staff and contractors speaking dozens of languages from around the world, fantastic intellectual discourse, mission-driven and intensely passionate people

*Eligible international workers' benefits are specific to their location and dependent on their employer of record

More information

Wikimedia Foundation website

Wikimedia Foundation blog

Annual Report - 2017

Wikimedia 2030


Wikimedia is a global movement whose mission is to bring free educational content to the world.

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