Manager, People Analytics
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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
Education Level
No degree required
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| Role level | Active listings |
|---|---|
| Mid-Level | 85 |
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| Senior | 37 |
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