Junior Data Engineer

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 (Python, JS, etc), and databases (SQL, etc) Strength in data visualisation tools (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

Utilize 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 Build a marketing data stack based on open source, and integrate it with our data mesh 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