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People Data Analyst at Canonical

CanonicalLagos, Nigeria Data and Artificial Intelligence
Full Time

Canonical - We deliver open source to the world faster, more securely and more cost effectively than any other company. We develop Ubuntu, the world's most popular enterprise Linux from cloud to edge, together with a passionate global community of 200,000 contributors. Ubuntu means 'humanity to others'?. We chose it because it embodies the generosity at the heart of open source, the new normal for platforms and innovation. Together with a community of 200,000, we publish an operating system that runs from the tiny connected devices up to the world's biggest mainframes, the platform that everybody uses on the public cloud, and the workstation experience of the world's most productive developers. Secure and reliable, elegant and intuitive, and open for innovation - Ubuntu is the future of open source, which is why its the fastest growing Linux in the world despite already being the most widely deployed.

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

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