O pozici
Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. 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. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.
Bring your data analytics and data mining skills to a unique team seeking to understand and shape the future of marketing technology. We are interested in technology adoption patterns, the respect of visitors' data and the use of open source in marketing. We are also interested in those marketing data analysts who are curious enough to embrace new technologies and are ready to work with unfamiliar tools, if needed.
The ideal candidate will be passionate about technology, technology marketing and the use of technology in marketing. You will prefer to work in an environment that has emphasis on ownership of campaigns, collaboration, learning, curiosity and a drive to continually improve oneself / the team / the organisation. You will also love to problem solve, get hands-on, experiment, measure and use automation to make daily life easier.
We have junior and senior open positions to be reporting to the Marketing team leadership.
Co budeš dělat
- Utilise advanced data analytics to grow Canonical’s product adoption and market penetration
- Design and conduct experiments with data, visualisation and insights into Canonical’s target audiences
- Put in place and maintain systems to ensure teams across the company have self-service access to data dashboards
- Automate and scale data operations and reporting
Koho hledáme
- Background in data analytics, mathematics or computer science
- Strength in analytics and data visualisation tools (Looker Studio, Tableau, Apache Superset, etc)
- Comfortable building and maintaining reporting dashboards
- Ability to identify the best methodology to execute research, synthesise and analyse findings
- Knowledge in coding/scripting languages (Python, JS, etc), and databases (SQL, etc)
Benefity
- 🏠Fully remote working environment - we’ve been working remotely since 2004!
- 📚Personal learning and development budget of 2,000USD per annum
- 💰Annual compensation review
- 🏆Recognition rewards
- 🏝 Annual holiday leave
- 👶Parental Leave
- 🧑💼Employee Assistance Programme
- 🧳Opportunity to travel to new locations to meet colleagues at ‘sprints’
- ✈️Priority Pass for travel and travel upgrades for long haul company events
