Canonical is hiring a
Senior Manager for Marketing Analytics, Remote - Europe

Summary

The job is for a Senior Manager for Marketing Analytics at Canonical. The role involves leading a team responsible for driving commercial results through data and technology, designing and implementing marketing technology stack, owning reporting and analytics, optimizing lead scoring, web analytics, SEO practices, and more. The ideal candidate should have an undergraduate or postgraduate degree in relevant fields, strong analytical mindset, knowledge in advanced marketing analytics, exceptional management experience, and a track record of building a culture of experimentation across the organization.

Requirements

• 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
• 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

Responsibilities

• Lead the growth engineering team
• Design, implement and operate Canonical marketing technology stack
• Own reporting and analytics throughout the customer lifecycle
• 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

Preferred Qualifications

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

Benefits

• 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