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Wikimedia - Research Analyst - Fundraising

by Chrissie Himes Contributions Published on Apr 10, 2014 04:15 PM
Wikimedia Foundation is hiring a Research Analyst!

The Analytics team in the Wikimedia Foundation is looking for a full-time research analyst - fundraising. You can read more about the position here. Please submit your job application using this link.

Job Description

The Wikimedia Foundation -- the non-profit organization that operates Wikipedia and its sister projects -- runs every year a global fundraising campaign to support its projects. Every year, millions of donors donate an average $15 each to keep our projects running. The Fundraising team is looking for a researcher to take the lead on its research and experimentation strategy, to make Wikipedia's fundraising campaigns faster, better and stronger and to stay true to our values of openness, transparency and respect of user privacy.

You will work on a daily basis with designers, software engineers and product owners in the Fundraising team for designing and testing new strategies to make Wikimedia projects financially sustainable. You will also be a full member of the Wikimedia Foundation's Research & Data team - a team of researchers responsible for building a comprehensive body of knowledge about Wikipedia contributors and readers, designing novel methods and analytics tools and helping the Foundation design and evaluate high-impact products.

You are an excellent communicator and a mission-driven researcher, you enjoy replacing anecdotes with cold, hard data and using quantitative methods to answer complex questions, and you feel strongly about Wikimedia's mission to provide the sum of all human knowledge for free to every person on the planet.

Responsibilities

  • Lead the fundraising research agenda in coordination with the team and help turn ideas into testable hypotheses. Design tests and online experiments to measure the effectiveness of a range of fundraising strategies and understand donor behavior.
  • Drive the entire fundraiser research pipeline from exploratory analysis and test design, to data analysis and statistical modeling, writing and presenting results. Assure the quality of data and the robustness of the results.
  • Collaborate closely with fundraising operations and engineers to ensure that tooling and monitoring tools and systems are working accurately during fundraisers.
  • Work with analytics engineers on the design of tools to present and visualize the results of your work and better support decision-makers.
  • Actively contribute to the activities of the Research and Data team, collaborate on other research projects and help spearhead a data-intensive culture in the organization. Share and communicate the results of your work within the team, the organization, the volunteer and the research community

Requirements

  • PhD or Master's degree in computer science, statistics, mathematics, operations research, behavioral science, economics, or a related quantitative field (or the equivalent combination of education and experience) and 5 years of relevant work or research experience
  • A record of experience in at least three of the following areas: experimental design and multivariate testing; statistical modeling, time series and regression analysis; large-scale data mining; human-computer interaction; analysis of (online) donor behavior, online advertising or monetization.
  • Fluency with scientific computing tools and programming languages for data analysis required. Experience with R and python is a big plus.

Set yourself apart

In addition to the basic skills needed for being successful these skills could set you apart.

  • A record of relevant research publications or a portfolio of relevant free software projects you significantly contributed to. Links to public projects, blogs, etc. are exceptionally useful
  • Experience with large-scale, unstructured data streams; fluency in Pig, Hive and familiarity with Hadoop a plus.
  • Familiarity with free software communities.
  • Experience editing Wikipedia or its sister projects.
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