canonical ltd.
canonical ltd.

1001-5000 employees

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computer-software
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About canonical ltd.

Ubuntu is a community developed operating system that is perfect for laptops, desktops and servers. Ubuntu is and always will be free of charge. You do not pay any licensing fees. You can download, use and share Ubuntu with your friends, family, school or business for absolutely nothing.

4 days ago

Manager, People Analytics

Full-time
Mid Level
Manager, People Analytics

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📋

Description
  • The Workplace Engineering function sits at the intersection of traditional HR analytics and modern Product Engineering.
  • We transform raw workforce data into a suite of 'People Products' that drive high performance.
  • We don’t just 'report' on what happened; we engineer the tools and insights that determine what happens next.
  • This new role will report directly to the Global Head of Workplace Engineering, and sits within our Data discipline inside of our People department.
  • Experienced data professionals at Canonical live at the intersection of software, data, and the business.
  • They don't just help surface analytic artifacts; they help transform them into a strategic asset that elevates decision making and innovation across our global operations (e.g., sales, marketing, engineering, and human resources).
  • They balance technical precision with business pragmatism, designing and iterating on experiments, automations, and products that transform insights into valued outcomes.
  • They shape tomorrow's AI/Data stack in open source, ensuring that Canonical remains at the forefront of data-driven excellence.
  • Their curiosity is contagious and has an amplifying effect on data literacy and stewardship across the business teams they support.

🎯

Requirements
  • Background in data science, mathematics, or engineering, skilled in advanced statistics, data wrangling/science, databases (SQL, etc.) or software engineering.
  • Strength in coding/scripting languages (Python, R, JavaScript, etc.), software engineering, visualization (e.g. Superset, Tableau), and automation.
  • Ability to translate business questions to key research objectives.
  • Ability to identify the best methodology to execute research, synthesize and analyze findings.
  • Proven ability to lead and drive others to execute against well planned roadmaps, with a strong mentor/coaching mindset.
  • Willingness to examine the status quo and be resilient in the face of challenges.
  • Ambition to build tomorrow's AI/Data stack in open source.
  • An exceptional academic track record from high school and university.
  • Business level written and spoken English.
  • Sincere personal motivation aligned with our mission.

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Benefits
  • Personal learning and development budget of USD 2,000 per year
  • Bi-annual compensation review
  • Company recognition rewards
  • 40 days annual leave per annum, including public holidays and our All Company holiday periods
  • Maternity and paternity leave
  • Team Member Assistance Program & Wellness Platform
  • Opportunity to travel to new locations to meet colleagues, with Priority Pass for lounge access