Marketing Data Analyst

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Requirements:

• Background in data science, mathematics, actuarial science, or engineering.
• Knowledge in advanced statistics, data sciences, coding/scripting languages (Python, JS, etc), and databases (SQL, etc).
• Strength in data analytics and visualisation (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 resilience in the face of challenges.

Responsibilities:

• Utilise 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, visualisation 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.
• Put in place and maintain systems to ensure teams across the company have self-service access to data dashboards.