Artificial Intelligence. 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. 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.

Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops. As a Data Analyst within the Product Engineering family, you will hold the keys to transforming raw information into the strategic compass that guides our entire organization. Reporting to the Manager of Data Analytics, your mission is to leverage company-wide data to generate actionable insights and build beautiful visualizations that enhance performance across the business.

You will act as a critical collaborator with the Data team, serving as a vital contributor to our core data-driven decision-making processes while ensuring the ultimate accuracy and reliability of our data.

Decode the Data: Manipulate and analyze various complex datasets to uncover actionable insights and support key business decisions across the company. Design and deploy interactive dashboards using advanced data visualization tools to clearly visualize data and track performance metrics.

Bridge the Teams: Partner closely with the Data team and cross-functional teams across the organization to deeply understand business requirements and deliver tailored analytical solutions.

Predict the Future: Conduct advanced analytics, including predictive modeling, correlation analysis, and statistical evaluations to identify upcoming trends and strategic opportunities. Implement rigorous data validation and governance processes to maintain the absolute highest standards of data accuracy and reliability.

Streamline and Automate:



Reverse engineer data requirements to help Data Engineers streamline and automate data collection, processing, and reporting to improve efficiency and scalability. Translate complex data into clear insights and actionable recommendations to improve business strategies, delivering findings through effective verbal and written communication for both technical and non-technical audiences.

Master the Databases: Query and manage databases with precision, utilizing tools and languages like SQL and Snowflake to extract and manipulate data for analysis.

The Data Track Record: 3+ years of proven experience in business intelligence, data analysis, or reporting, showing a passion for solving business problems through data.

The Academic Foundation: Bachelor’s degree in Computer Science, Finance, Economics, Analytics, Business, Math, Statistics, or a related field. Strong SQL and Python skills, with a proficiency in data visualization tools and their advanced functionalities (experience with Snowflake is a big plus!).

The Math Magician: Deep expertise in statistical analysis, data pivots, predictive modeling, and designing scalable data solutions.

The Detail Detective: High attention to detail, a detail-oriented mindset, and an unyielding commitment to maintaining data accuracy and quality. A self-motivated, proactive individual with a collaborative mindset who thrives in a fast-paced setting and is driven by process improvement and innovation. Great work can happen anywhere but coming together helps us go further.

Our team spends three days a week in the office (Tuesday-Thursday) to collaborate, solve problems, and learn from each other. With flexibility the rest of the week, it’s a balance designed to help everyone do their best work and keep growing.

Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success.



We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul. Rest, Relax, Repeat: Rest and recharge with paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, and your birthday off!

Fun fact: we had 30 Docebian babies join the family in 2025!

Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors) and company-wide events that keep the fun rolling all year long. At Docebo, we create seamless, AI-powered learning experiences for over 3,000 customers worldwide. We're a global company, with office across North America, EMEA, APAC, and beyond.

Our team is guided by five core values— Grow Together Win Together, Build with Our Customer, Clear is Kind, Own Outcomes, Progress Over Perfection —that shape everything we do. If this resonates with you, now is the perfect time to join one of the fastest-growing learning technology companies in the world. We are committed to diversity and inclusion in our workforce.

All qualified applicants and employees will receive consideration for employment regardless of their race, colour, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, citizenship status, age, disability, genetic information, or any other category protected under applicable law. As a federal contractor, Docebo is committed to the principles of affirmative action and equal employment opportunity for protected veterans and individuals with disabilities. Docebo does not discriminate because of protected veteran status or on the basis of disability, and Docebo takes affirmative action to employ and advance in employment qualified protected veterans and individuals with disabilities.

Any individuals requiring a reasonable accommodation or would like to voluntarily disclose a disability or protected veteran status to assist with their employment application should send an e-mail to recruiting_accommodations@docebo.

📌 Data Analyst - Project / Remote (Toronto)
🏢 Docebo
📍 Toronto