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 also seek marketing data analysts who are curious enough to embrace new technologies and are ready to work with unfamiliar tools, if needed.
The role of a Junior Data Engineer at Canonical
Canonical has provided developers with open source since 2004, helping them build innovations such as public cloud, machine learning, robotics, or blockchain. Marketing at Canonical means being at the forefront of innovation, for our customers and for our own martech stack. We're looking for a marketing data analyst to join our team and execute our growth hacking strategy.
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 emphasizes ownership of campaigns, collaboration, learning, curiosity, and continuous improvement. You will also love problem-solving, getting hands-on, experimenting, measuring, and using automation to make daily life easier.
The Marketing team at Canonical drives commercial outcomes across its product portfolio and grows the market through digital campaigns, lifecycle management, events, partnerships, and community development. If these are important to you and you're motivated by data engineering, customer satisfaction, and sales growth, we want to talk with you.
This role reports to the Growth Engineering Manager and is based remotely in the EMEA region.
What your day will look like
1. Utilize advanced data analytics to grow Canonical's product adoption and market penetration
2. Focus on quantitative and qualitative data analytics to find insights and meaningful business outcomes
3. Design and conduct experiments with data, visualization, and insights into Canonical's target audiences
4. Collaborate with stakeholder teams to improve the data and tool ecosystem
5. Establish and maintain systems for self-service data dashboards across the company
What we are looking for in you
* Background in data science, mathematics, actuarial science, or engineering
* Knowledge of advanced statistics, data science, coding/scripting languages (Python, JS), and databases (SQL)
* Strength in data analytics and visualization tools (Looker Studio, Tableau, Apache Superset)
* Ability to translate business questions into research objectives
* Ability to select appropriate research methodologies and analyze findings
* Excellent writing and communication skills
* Resilience and willingness to challenge the status quo
What we offer you
Your pay will depend on location, experience, knowledge, and skills. Additional benefits may include bonuses and incentives. We value equity across our global team.
Additional benefits include:
* Fully remote work environment
* Personal learning budget of $2,000 annually
* Annual compensation review
* Recognition rewards
* Annual leave and parental leave
* Employee Assistance Programme
* Opportunities to travel for team events
* Travel upgrades for long-haul company events
About Canonical
Canonical is a leader in open source, known for Ubuntu and its contributions to AI, IoT, and cloud platforms. We recruit globally and uphold high standards of excellence. Since 2004, we have operated as a remote-first company, encouraging innovative thinking and continual learning. We are an equal opportunity employer committed to diversity and inclusion.
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