Sales Operations Analyst
CanonicalHome based - EMEAPosted 7 April 2026
Job Description
Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.
The company is founder-led, profitable, and growing.
Canonical is hiring exceptional Sales Operations leaders and experienced analysts to grow and manage our global direct, alliance, channel partner and online sales. Our Sales Operations teams analyze and drive interventions to maximize net customer retention, and lead robust, repeatable processes to plan, manage and deliver revenue.
You will partner with Canonical’s executive team across sales, business development, customer success, marketing, product management, commercial systems, delivery, finance and legal and provide a focal point to drive improvements. This position requires leadership, initiative and an analytical approach, a keen eye for detail and the ability to drive continuous improvements in processes, systems, governance and data quality. People that thrive in these roles are proactive problem solvers who are passionate about the opportunity to partner with sales leadership, our role in the technology industry bringing open source to a wider audience of innovators and enterprises, and the opportunity to design and drive programs in support of Canonical's continued success.
Location:
These roles will be based remotely in the EMEA region.
The role entails
Delivering precise, scalable revenue operations for business through direct, indirect or online channels
Leading and developing a team of revenue operations analysts in developing policies, driving processes and providing daily operational support and enablement to sales teams and partners
Driving Sales Engagement, Training/Enablement/Data Enrichment, Customer Relationship Management, Configure Price Quote, Analytics and Commissions
Instrumenting, measuring and improving policies and processes across teams covering the entire revenue operations spectrum
Delivering metrics and reporting to monitor and improve revenue operations effectiveness, including new leads, pipeline, velocity, sales productivity and renewals.
Using data to drive insight, manage territories and channels, improve productivity, and agree and implement actionable change with executive management through regular sales and business reviews.
Overseeing our sales technology and processes, driving automation and process improvements and partnering with our commercial systems engineering team to continuously improve business systems and integration
Leading the introduction of new products, pricing, packaging and bundling through systems that are easy for sales and partners to navigate and quote
Driving data quality, through order processing, new hire training, process documentation, reporting and data cleansing
Leading and enhancing our commercial review process for evaluating and steering sales and alliance opportunities
Owning the commission plan and leading the process for setting goals, evaluating and paying against that plan
What we are looking for in you
Experience operating in a leadership Revenue Operations role, driving effectiveness of direct, channel and alliance partnerships
Data-driven and analytical approach with a high attention to detail
Track record of providing insight through robust CRM and other Revenue Operations technology platforms, data, analytics, compensation systems and processes to deliver excellent revenue operations
An energetic, thoughtful, systematic app ... (truncated, view full listing at source)
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