Engineer à Afrique du Sud

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 continual improvement. You should 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 align with your interests and you're motivated by data engineering, customer delight, and filling the sales funnel, we want to talk with you.

This role reports to the Growth Engineering Manager and is based remotely in the EMEA region.

• Utilize 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, visualization, 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
• Establish and maintain systems to ensure teams have self-service access to data dashboards

• Background in data science, mathematics, actuarial science, or engineering
• Knowledge of advanced statistics, data sciences, coding/scripting languages (Python, JS, etc.), and databases (SQL, etc.)
• Strength in data analytics and visualization (Looker Studio, Tableau, Apache Superset, etc.)
• Ability to translate business questions into research objectives
• Ability to identify the best methodology to execute research, synthesize, and analyze findings
• Excellent writing and communication skills
• Willingness to examine the status quo and resilience in the face of challenges

Your base pay depends on factors like location, experience, knowledge, and skills. Additional benefits may include bonuses and incentives based on revenue or utilization. Our compensation philosophy ensures equity across our global workforce.

We also offer:

• Fully remote work environment
• Personal learning and development budget of $2,000 USD annually
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Parental leave
• Employee Assistance Program
• Opportunities to travel for 'sprints'
• Travel benefits for company events

Canonical is a pioneering open source tech firm, publisher of Ubuntu, and a leader in AI, IoT, and cloud platforms. We recruit globally and maintain high standards for excellence. Since 2004, we've been a remote-first company, encouraging innovative thinking, learning, and skill development. We are an equal opportunity employer, committed to diversity and inclusion.