Senior Manager, Data Analytics
Docebo
| Company | Docebo |
| Category | Data & Analytics |
| Location | Toronto |
| Remote | Hybrid |
| Employment | Not stated |
| Level | Manager |
| Salary | USD 121k |
| Posted | 23 Jun 2026 |
| Last verified | 31 Jul 2026 |
| Source | Employer career page (ashby) |
Description
Artificial Intelligence. Actual Impact.
At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses.
We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive.
So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops.
THE ADVENTURE AHEAD 🚀
As our Senior Manager of Data Analytics, you will be the ultimate data storyteller, transforming complex data landscapes into clear, company-wide strategies that fuel execution across Docebo. Reporting directly to the Director of Data, you will serve as a vital bridge between our cutting-edge Core Data team and executive business leaders across North America and EMEA. This is your chance to lead an innovative analytics function, champion data-driven decision-making, and directly shape the future of a global, AI-powered learning platform.
THE DAY-TO-DAY 📈
- Empower Your Team: Manage, mentor, and inspire a talented team of data analysts to design high-impact reports, dashboards, and deep-dive analytics that deliver timely insights across all business functions.
- Execute the Strategic Vision: Support the Director of Data in executing a future-forward data analytics strategy and roadmap that aligns perfectly with Docebo’s hyper-growth goals.
- Bridge the Data Ecosystem: Partner closely with the Core Data team to ensure the robustness, scalability, and absolute efficiency of our BI platforms, data models, and ETL processes.
- Cultivate Global Partnerships: Build and own deep relationships with functional leaders across Finance, RevOps, Customer Success, and GTM leadership in both North America and EMEA to translate burning business questions into executive-level KPIs.
- Anchor North America: Act as the Director of Data's primary point of presence in North America, representing the Data organization with local leadership to embed intelligence directly into regional strategic and operational planning.
- Ignite Analytical Innovation: Fuel business breakthroughs by leveraging advanced analytics techniques, predictive modeling, and staying ahead of emerging technology trends to uncover new opportunities.
- Guard Data Excellence: Implement and enforce elite standards for validation, governance, and quality assurance within the data analytics function to guarantee undeniable data integrity.
YOUR SUPERPOWERS 🦸♂️
- Proven Analytics Leadership: Bring 5+ years of progressive experience in data analytics, business intelligence, or related fields, including at least 2 years of successfully managing or leading high-performing analyst teams.
- Technical Toolkit Mastery: Demonstrate deep expertise in modern BI and data visualization tools alongside strong practical knowledge of advanced analytics languages like Python and SQL for complex data analysis.
- Data Architecture Fluency: Navigate data warehousing environments (like Snowflake) with ease, backed by an expert grasp of data modeling best practices.
- Cross-Functional Collaboration
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