We deliver open source to the world faster, more securely and more cost effectively than any other company. We develop Ubuntu, the world’s most popular enterprise Linux from cloud to edge, together with a passionate global community of 200,000 contributors. Ubuntu means 'humanity to others'​. We chose it because it embodies the generosity at the heart of open source, the new normal for platforms and innovation.
What your day will look like
- Utilise advanced data analytics to grow Canonical's product adoption and market penetration
- Focus on quantitative and qualitative data analytics to find insights and meaningful business outcomes
- Design and conduct experiments with data, visualisation and insights into Canonical's target audiences
- Collaborate with stakeholder teams (Product Management, Engineering, Information Systems, Finance, RevOps, etc) to improve the data and tool ecosystem
- Put in place and maintain systems to ensure teams across the company have self-service access to data dashboards
What we are looking for in you?
- Background in data science, mathematics, actuarial science, or engineering
- Knowledge in advanced statistics, data sciences, coding/scripting languages (Python, JS, etc), and databases (SQL, etc)
- Strength in data analytics and visualisation (Looker Studio, Tableau, Apache Superset, etc)
- Ability to translate business questions to key research objectives
- Ability to identify the best methodology to execute research, synthesise and analyse findings
- Excellent writing and communication skills
- Willingness to examine the status quo and resilient in the face of challenges
Method of Application
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