Logo of Huzzle

💼 Job

People Data Analyst

Logo of Canonical


18d ago

💼 Graduate Job
💻 Remote

AI generated summary

  • The ideal candidate should have a background in data science, mathematics or engineering, along with first work experience in People Analytics. They should possess knowledge in advanced statistics, coding languages and databases, as well as strong data analytics and visualization skills. Excellent communication and writing abilities are essential, along with the ability to translate business questions into research objectives and the resilience to overcome challenges.
  • The People Data Analyst at Canonical will analyze and interpret data related to hiring and productivity in a global, remote-first organization. They will utilize advanced analytics, create visualizations, and collaborate with stakeholders to improve data systems and tools.

Graduate Job



  • 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.


  • 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

Area of Responsibilities



  • 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


Work type

Full time

Work mode



  • 🏠 Fully remote working environment - we’ve been working remotely since 2004!
  • 📚 Personal learning and development budget of USD 2,000 per annum
  • 💰 Annual compensation review
  • 🏆 Recognition rewards
  • 🏝 Annual holiday leave
  • 👶 Parental Leave
  • 🧑‍💼 Employee Assistance Programme
  • 🧳 Opportunity to travel to new locations to meet colleagues at ‘sprints’
  • ✈️ Priority Pass for travel and travel upgrades for long haul company events