Location: San Francisco, CA or Remote (If remote, at least 50% of working hours should coincide with 8am-6pm Pacific Time)
Duration: 12 weeks
Schedule: 20 hrs/week
The Wikimedia Foundation, the nonprofit organization behind Wikipedia and other free knowledge projects, is looking for a contractor for the Learning & Evaluation team in the Community Engagement Department. The role of the team is to support Wikimedia communities and Foundation staff in using data to learn from their work and improve decisions.
The Community Engagement Insights program at the Foundation aims to support teams to listen and hear from their audiences, using survey data. We are in the second year of implementing the Wikimedia Communities & Contributors Survey. This particular survey is the major annual snapshot from our multiple global audiences.
We’d like you to do these things:
As a Survey Analyst Contractor with the Learning & Evaluation team, you will support organizational learning from the Wikimedia Communities & Contributors survey. With the survey data being collected in March, you will support the analysis of the survey results. The deliverables of the role would include, but not limited to:
- Descriptive analysis of survey data collected from the Wikimedia Communities & Contributors survey, including data cleaning, analysis and storage of survey data
- Longitudinal analyses over a two-year period of priority research questions
- Support drafting summary reports for both staff and community audiences
- Other duties as needed related to the release of the survey results
We’d like you to have these skills:
The Survey Analyst Contractor should have the following experience and personal characteristics:
- Master's degree in statistics, public policy, information science, or related field OR equivalent combination of Bachelor's degree and experience in evaluation, statistics, data management or related field
- Experience conducting research, especially online survey research, in an applied setting.
- High energy and commitment for the Wikimedia Foundation’s free knowledge mission.
- Strong experience in manipulating and analyzing datasets using Excel, SPSS, r, python, STATA, or other statistical software.
- Experience or exposure to ethical data management practices.
- Proven ability to adhere to deadlines and to seek out learning & support for collaborative projects.
- The ability to excel in a fast‐paced, multitasking environment that demands fast turn‐around.
- Strong track record of positive and friendly communication with diverse cultural and language communities.
And it would be even more awesome if you have this:
- Experience with international or multilingual surveys
- Experience with international development, non-profit, or social movement research, or working with volunteers
- Understanding of the existing landscape of Wikimedia movement
About the Wikimedia Foundation
At the Foundation, we build technology to help people everywhere access Wikipedia, across devices and in nearly 300 languages. We engineer privacy for our readers and editors so they can safely and securely explore Wikipedia. We create programs and initiatives to make Wikipedia freely available to more people in more parts of the world. We build new tools for the community of editors so they can continue to improve and grow Wikipedia. Roughly a quarter of our budget goes to supporting the community that make the site possible, including through grantmaking programs that enable volunteers and enrich the information on the sites.
The Wikimedia Foundation is an equal opportunity employer, and we encourage people with a diverse range of backgrounds to apply.