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  • Posted: Apr 26, 2024
    Deadline: Not specified
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    We deliver open source to the world faster, more securely and more cost effectively than any other company. If you're interested in a career at Canonical, we are a remote-first company so please apply to any suitable role as skills are valued more than location, despite some having a preferred geographic preference.
    Read more about this company

     

    People Data Analyst

    • Support analytics and data mining in a cross-disciplinary team of organisational psychologists, web front end engineers, back end engineers and statistics / analytics experts to help us build a new definition for the 21st century digital workplace. Collaborate to figure out what really drives productivity, effectiveness and happiness in a remote-first globally distributed company.
    • In addition to your existing people analytics work experience, this role will combine your skills in psychology, data analytics and visualisation, to help create a more effective workplace.

    Location: This role will be based remotely in the AMER region.
    All applicants applying must be legally authorized to work in the location they want to work in, as we cannot offer visa sponsorship for this job position.
    What your day will look like

    • Utilize advanced data analytics to understand how we hire and how we work (productivity, happiness and effectiveness) across a global, remote first organisation
    • Focus on quantitative and qualitative data analytics to find insights and meaningful business outcomes
    • Tell the story from the insights through dashboards, visualizations and presentations
    • Design and conduct research into trends shaping talent science and remote work
    • Collaborate with stakeholder teams (ex., engineering, information systems, etc) to improve the data and tool ecosystem supporting our digital workplace

    What we are looking for in you

    • Background in data science, mathematics, actuarial science, or engineering
    • First work experience in People Analytics is an asset
    • Knowledge in advanced statistics, data sciences, coding/scripting languages (Python, R, etc), and databases (SQL, etc)
    • Strength in data analytics and visualization (Looker Studio, Tableau, etc)
    • Ability to translate business questions to key research objectives
    • Ability to identify the best methodology to execute research, synthesize and analyse findings
    • Excellent writing and communication skills
    • Willingness to examine the status quo and resilient in the face of challenges

    Method of Application

    Interested and qualified? Go to Canonical on boards.greenhouse.io to apply

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