Senior Revenue Operations Analyst

Posted 16 Hours Ago
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Québec, QC
Senior level
Software
The Role
The Senior Revenue Operations Analyst will optimize revenue processes, enhance tools and insights, collaborate with various departments, and develop reporting metrics to support business growth in a SaaS environment.
Summary Generated by Built In

Contribute to our ambitious journey by driving revenue operations excellence.

Join Coveo, an innovative company with customers and people at the core of its values. With ambitious plans in mind, we're seeking an experienced Revenue Operations Analyst to contribute to our GTM teams’ success .

As our Senior Revenue Operations Analyst, you will drive business decisions and play a crucial role in optimizing revenue processes, tools, and data insights. As a member of the RevOps team, you will collaborate with leadership across Sales, Account Management, Business Development, Alliances, and Marketing to ensure cross-departmental alignment and lead-to-close efficiency. This role requires strong business acumen, clear communication, an analytical mindset, and a passion for solving complex operational challenges in a SaaS environment.

Interested in learning more? Here’s what your responsibilities will look like:

  • Own and optimize revenue processes across the customer lifecycle to improve scalability and address workflow bottlenecks in Sales and Marketing.
  • Guide stakeholders on best practices for pipeline management, forecasting, and accelerating deal velocity to drive sustained revenue growth.
  • Develop comprehensive reporting and dashboards to track key revenue metrics (ARR, MRR, churn, CAC) and provide actionable insights for leadership.
  • Collaborate with IT and CRM administrators to enhance the sales tech stack (Salesforce, ZoomInfo, Outreach) and resolve issues.
  • Ensure data integrity by defining and enforcing standards for data management and improving Rules of Engagement (RoE) across systems.
  • Lead revenue forecasting initiatives, ensuring accurate data inputs from cross-functional teams, and act as a trusted advisor to revenue leaders with data-driven recommendations. 

Here’s what will qualify you for the role:

  • 4+ years of experience in Revenue Operations, Sales Operations, Finance, or a related analytical role within the SaaS industry.
  • Excellent business acumen and the ability to effectively communicate and collaborate with stakeholders across a business.
  • Advanced Excel/Google Sheets skills, including proficiency with pivot tables, VLOOKUPs, financial modeling, and functions like SUMIFS, QUERY, and ARRAYFORMULA. You will also need proficiency with Salesforce CRM, including reporting and dashboard creation.
  • Strong understanding of lead-to-close processes (including MQL, SAL, SQL, and Win/Loss stages), SaaS metrics (e.g., ARR, MRR, churn, LTV, CAC) and how these metrics interconnect.

Here’s what will make you stand out:

  • Experience with marketing automation platforms (e.g., Marketo) and customer success tools (e.g., Gainsight), and familiarity with BI tools such as Tableau, Looker, or Power BI.
  • Knowledge of data governance principles and data quality best practices.
  • Ability to write basic SQL queries for data extraction and analysis.

Do you think you can bring this role to life? Or add your own color? You don’t need to check every single box; passion goes a long way and we appreciate that skillsets are transferable.

 Send us your application, we want to know what you're all about!

Join the Coveolife!

We encourage all qualified candidates to apply regardless of, for example, age, gender, disability, gaps in CV, national or ethnic background.

Top Skills

Excel
Google Sheets
Salesforce
SQL
The Company
HQ: Québec
763 Employees
On-site Workplace

What We Do

Coveo powers the digital experiences of the world’s most innovative brands serving millions of people and billions of interactions across every digital experience. After a decade of enriching our market-leading platform with forward-thinking global enterprises, we know what it takes to gain a trusted AI-experience advantage.

We strongly believe that the future is business-to-person, that experience is today’s competitive front line, a make or break for every business.

For enterprises to achieve this AI-experience advantage at scale, it is imperative to have an Enterprise Spinal and composable ability to deliver AI semantic search and generative experiences at each customer and employee interaction.

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