The Communications team at Wikimedia Foundation is looking for a Research and Insights Intern to support the collection and analysis of data about our content and communications, to help us better serve the communities who create Wikipedia and its sister projects.

You will be joining a group of dedicated and passionate people responsible for communicating important news and information for the world’s largest communities. We’re looking for someone who is talented, passionate about our mission, and driven to change the world.

Description:

Your primary services and deliverables will be to collect, analyze, and report on key metrics about the content we produce, audiences, the impact of our campaigns.

Desired Skills and Experience: Commitment to the Wikimedia Foundation’s free kNowledge mission Ability to sift through large quantities of data to tell meaningful stories Experience in quantitative and qualitative digital media research Experience in data analysis to derive impactful insights Familiarity with digital, web and social media analytics packages Familiarity with survey research methods and considerations Familiarity with statistical packages and data query languages The ability to flourish in a highly transparent and collaborative environment and work on a team with diverse demographic and cultural characteristics Pluses: Involvement or experience within Wikimedia communities Other languages – especially German, French, or Spanish KNowledge of community interaction and dynamics BA/BS degree in technical or business fields or equivalent work experience

Working with the Communications team to identify and implement content and audience research strategies Measuring the effectiveness of our communications channels, for both owned and earned media (e.g.: blog, emails, social networks, video, websites, press coverage) Designing quantitative and qualitative analyses to answer important research questions Tracking key metrics for our content in each channel (e.g.: views, visitors, engagements) Collecting qualitative feedback for each channel (e.g.: surveys, discussions, sentiment) Recommending and performing large-scale, ad hoc data analysis and develop effective statistical models for segmentation, classification, optimization, time series Analyzing this data and identify key findings about our content and communications Sharing reports with metrics summaries and insights, to inform decisions about our work Preparing data visualizations about key findings (infographics, charts and graphs)