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Job Description
A Junior Data Engineer at Canonical is responsible for utilizing advanced data analytics, designing experiments, building and maintaining open source-based marketing data systems, and collaborating with various teams to improve data access and insights to support marketing growth and innovation.
Key Responsibilities
- Utilize advanced data analytics to grow product adoption and market penetration
- Design and conduct experiments with data, visualization, and insights into target audiences
- Build and integrate a marketing data stack based on open source tools with the data mesh
- Collaborate with stakeholder teams to improve data and tool ecosystems
- Implement and maintain systems for self-service access to data dashboards across teams
Requirements
- Background in data science, mathematics, actuarial science, or engineering
- Up to 1 year of experience in data analytics
- Knowledge in advanced statistics, data sciences, coding scripting languages such as Python, JavaScript, etc., and databases such as SQL
- Strength in data visualisation tools including Looker Studio, Tableau, Apache Superset, etc.
- Ability to translate business questions into 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 resilience in the face of challenges
Benefits & Perks
Fully remote working environment
Personal learning and development budget of 2,000 USD 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
Ready to Apply?
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