Jobs Career Advice Signup

Send this job to a friend


Did you notice an error or suspect this job is scam? Tell us.

  • Posted: Jan 28, 2021
    Deadline: Not specified
  • Want to get a job fast? Signup and complete your profile on MyJobMag. Employers will find you 4x faster with a complete profile. You can download your completed profile anytime

    The Wikimedia Foundation is the nonprofit that hosts Wikipedia and our other free knowledge projects. We want to make it easier for everyone to share what they know. To do this, we keep Wikipedia and Wikimedia sites fast, reliable, and available to all. We protect the values and policies that allow free knowledge to thrive. We build new features and tools...
    Read more about this company


    Contract Data Analyst


    The Wikimedia Foundation is looking for a Wikidata Query Service Data Analyst Consultant to join our team, reporting to the Senior Program Manager, Structured Data.  As the Wikidata Query Service Data Analyst Consultant, you will be responsible for helping to define a strategy for how we can use our data to better understand how to scale the Wikidata Query Service (WDQS) and better support our use cases. In this role, you will work to categorize the queries currently made in the service based on use case constraints, so that we can prioritize the development of alternative solutions and scaling improvements. This work will involve SPARQL/RDF query analysis. Work in this area will include things like:

    You are responsible for:

    • Analyzing SPARQL/RDF queries made in WDQS to answer questions like:
      • What queries require up to date data? 
      • What queries require low latency? 
      • Which queries are complex in terms of inference, and which are expensive because they’re wrongly formulated? 
      • Graph structure questions, such as are there performant subgraphs that can be split out, and if so, what parts of Wikidata would make sense to split?
    • Advising the team on additional strategies for examining the available data, including how to relate queries to the underlying data.
    • Using data to uncover ways in which we can better scale WDQS and/or provide alternative solutions.
    • Using experimental and quantitative research methods to provide impactful, accessible, and ethical data and insights.
    • Build data visualizations, reports, and dashboards and guide stakeholders in how to interpret the data.

    Skills and Experience:

    • 3+ years experience using analytics tools and infrastructure to extract patterns from large and complex datasets.
    • Proven track record of analyzing complex processes and advising on strategy.
    • Ability to communicate technical concepts clearly and effectively, both written and orally, to stakeholders with diverse backgrounds and areas of expertise.
    • Experience with processing SPARQL/RDF queries, both manually and using tools like parsers, algebras, and abstract representation.
    • The analysis will be conducted on our analytics cluster, with the tools provided by the Wikimedia Foundation. This requires working knowledge of Spark and Hadoop.

    Qualities that are important to us:

    • Flexible and open to new ideas.
    • Comfortable working in a highly collaborative, consensus-oriented environment.

    Additionally, we’d love it if you have:

    • Direct experience working with the Wikidata Query Service.
    • Understanding of the free culture, free software, or online rights movements.
    • Technical understanding of graph database query engines and their tradeoffs.

    Method of Application

    Interested and qualified? Go to Wikimedia Foundation on to apply
  • Send your application

    Back To Home View All Vacancies at Wikimedia Foundation
Never miss a job with our real-time & personalized push notification
Subscribe Now

Career Advice

View All Career Advice

Subscribe to Job Alert


Join our happy subscribers

This website uses cookies to improve your experience. By using this site you agree to the storing of cookies on your device to enhance navigation, analyze site usage, and assist in our marketing efforts. To learn more, see our Cookie Policy. Accept and Close
Send your application through

Yahoomail Gmail Hotmail