Manager, People Analytics

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.

Ambition to build tomorrow's AI/Data stack in open source.

Accessible, collaborating to build products and systems that are usable.

Experience with Airbyte, Ranger, Superset, Temporal, or Trino

We consider geographical location, experience, and performance in shaping compensation worldwide. We assess performance and revisit compensation twice annually to ensure we recognize outstanding colleagues. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.

Distributed work environment with twice-yearly team sprints in person

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

Multi-Disciplinary Leadership:  Lead and mentor a specialized squad of People Data Scientists, Software Engineers, and UX Designers.

You aren't just managing analysts; you are leading a product squad.

Product Ownership on People Science: Bridge the gap between "HR-speak" and "Dev-speak", ensuring engineers understand the human behavioral intent behind the code.

Strategic Insight & Business Outcomes: Move beyond descriptive metrics (e.g., turnover rate) to predictive and prescriptive insights (e.g., predicting attrition risk based on "Time-Product" engagement data).

Data Stewardship & Product Storytelling: Act as the "Translator-in-Chief".

Take complex data models and turn them into compelling narratives.

Canonical is a pioneering tech firm at the forefront of the global move to open source. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. We are founder-led, profitable, and growing.

Powered by worldwide distributed collaboration since our inception in 2004, we believe tech and business leadership can emerge anywhere. We have no central headquarters. Most of us work from home, but we are exceptionally disciplined about this. We have very high expectations of all colleagues, and are champions of excellence. Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game.