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Canonical
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Remote - AMER or EMEA
Posted July 17, 2026 · 47 days ago · Last seen September 2, 2026 · Est. expiry August 21, 2026

Manager, People Analytics

The text below is the employer's original job description, extracted as written. Other details on this page, like salary, responsibilities, and requirements, are interpreted from that text by our system, not values the employer explicitly confirmed, so treat them as our best interpretation rather than verified facts.

About the role

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.

Job Details

Responsibilities

  • Lead and mentor a squad of data scientists, engineers, and designers
  • Bridge the gap between HR-speak and Dev-speak
  • Move beyond descriptive metrics to predictive insights
  • Act as the Translator-in-Chief for data models
  • Identify opportunities to leverage high-tech solutions

Requirements

  • Background in data science, mathematics, or engineering
  • Skilled in advanced statistics, data wrangling/science, databases (SQL, etc.) or software engineering

Skills & Technologies

PythonRJavaScriptSQLVisualization toolsAutomation

Education Level

No degree required
Seen 21 hours agoPartial Schema
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Canonical · 266 open roles
Top locations: Remote - Global · 136 · Remote - EMEA · 72 · Remote - Worldwide · 20+8 other locations
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Current role-level mix at Canonical on JobCrawls
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Manager13
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