• Application Deadline:
• Position: Growth Engineer


• Job Type Full Time , Remote


• Qualification BA/BSc/HND


• Experience


• Location Lagos


• Job Field Data, Business Analysis and AI 
  

Job Description

• 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 technology adoption, for our customers and for our own martech stack. We’re on the look out for a growth engineer to join our team and execute on 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 has emphasis on ownership of campaigns, collaboration, learning, curiosity and a drive to continually improve oneself / the team / the organisation. You will also love to problem solve, get hands-on, experiment, measure and use automation to make daily life easier.


• The Marketing team at Canonical drives commercial outcomes for the company across its portfolio of products and grows the addressable market through digital marketing campaigns, lifecycle management, events, partnerships and community development. If these things are important to you and you're motivated by driving growth, delighting customers and filling the sales funnel, we want to talk with you.


• This role sits in the Marketing team reporting to the Growth Engineering Manager.

What your day will look like

• Join cross-functional teams looking to grow Canonical product adoption and market penetration


• Support Go To Market team members with strategic expertise measuring and analysing data


• Analyse behavioral data and users’ feedback


• Support experiments with data, visualisation and insights


• Put in place and maintain systems to ensure teams across the company have  self service access to data dashboards

What we are looking for in you?

• Ability to work with at least two of the following languages: Python, JS, SQL


• Experience in data analysis and data visualisation


• Exceptional interpersonal skills and aptitude for forging trusting relationships across diverse, cross-functional teams


• Proven ability to prioritise and differentiate what matters from the noise, meeting deadlines without sacrificing quality.