The role of Senior Manager for Marketing Analytics at Canonical

Canonical has provided developers with open source solutions 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 lookout for a Marketing Analytics Senior Manager to join our team and execute on our growth hacking strategy. As a team, we are interested in technology adoption patterns, the respect of visitors' data and the use of open source in marketing.

The ideal candidate is 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, 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 reports to the VP of Marketing.

Location: Our company largely works from home, this role can be based in the Europe, Middle East and Africa time zones.

What your day will look like

• Lead the growth engineering team, a group of data analysts, performance marketers, lifecycle marketers and marketing automation specialists responsible for driving the best commercial results for Canonical through data and technology.
• Design, implement and operate Canonical marketing technology stack, a dozens of martech applications, from commercial applications (Marketo, Google Analytics, Leandata) to open source solutions (Superset, Kubeflow, WordPress).
• Own reporting and analytics throughout the customer lifecycle from ABM, Multi-Touch Attribution, funnel performance, acquisition costs and customer retention.
• Develop and track OKRs and conversion rates across the marketing and revenue funnels.
• Optimise lead scoring, lead flow and cadences to increase conversion rates across marketing and sales.
• Develop web analytics and SEO practices to sustain high levels of organic user and customer acquisition.
• Drive Return On Ad Spend optimisation through attribution methodologies, advanced targeting and channel exploration.
• Ensure marketing data cleanliness and completeness through data governance policies and management practices.
• Champion an experimentation culture by supporting the business with processes, tooling (A/B tests, MAB) and expertise.
• Collaborate with teams across marketing and throughout Canonical (Product, IS, Engineering, RevOps, Finance) to build data solutions to Go To Market problems.
• Support execution excellence in the marketing team through training, tools and documentation.
  
  

What we are looking for in you

• An undergraduate or postgraduate degree in data science, statistics, mathematics, computer science, or engineering , or a compelling narrative about your alternative chosen path, together with an exceptional academic track record throughout your education years.
• A strong analytical mindset with solid evidence of managing projects that drive commercial success.
• Knowledge in advanced marketing analytics (media mix modelling, cohort analysis, attribution models ), coding/scripting languages (Python, JS, etc), and databases (SQL, etc)
• Exceptional management experience, leading analytical, creative professionals to excellence.
• Experience in selecting, implementing and managing a leading edge martech stack preferably built on open source software.
• A track record of building a culture of experimentation across the organisation.
• Advanced web analytics and SEO practices across website and SAAS products.
• Proven ability of collaborating with senior stakeholders across functions (sales, revenue operations, product, IS…) to turn strategic business and product questions into impactful analytic projects.
• Willingness to travel up to 2-4 times a year for internal events.
  
  

Additional Skills Of Interest

• Experience implementing ML generated predictive models for lead generation or customer retention purposes.
  
  

What we offer you

We consider geographical location, experience, and performance when shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven commission structure. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.