Data Analyst
Role overview
Docebo is an AI-powered learning platform that helps organizations create, deliver, and manage training. As a Data Analyst within the Product Engineering team, you will transform raw data into strategic insights that guide business decisions across the organization. You’ll report to the Manager of Data Analytics and serve as a key collaborator in building data-driven solutions that impact the entire company.
Key responsibilities
- Analyze complex datasets to uncover actionable insights and support critical business decisions across the organization.
- Design and deploy interactive dashboards using advanced data visualization tools to track performance metrics and communicate findings clearly.
- Partner with the Data team and cross-functional departments to understand business requirements and deliver tailored analytical solutions.
- Conduct advanced analytics including predictive modeling, correlation analysis, and statistical evaluations to identify trends and opportunities.
- Implement data validation and governance processes to ensure the highest standards of data accuracy and reliability.
- Query and manage databases using SQL and Snowflake to extract and manipulate data for analysis.
- Work with Data Engineers to streamline data collection, processing, and reporting workflows, and continuously refine reporting systems to meet evolving business needs.
Requirements
- Minimum three years of proven experience in business intelligence, data analysis, or reporting, with a track record of solving business problems through data.
- Bachelor’s degree in Computer Science, Finance, Economics, Analytics, Business, Math, Statistics, or a related field.
- Strong proficiency in SQL and Python with advanced skills in data visualization tools; experience with Snowflake is highly valued.
- Working knowledge of basic data modeling concepts such as star schemas and fact versus dimension tables.
- Deep expertise in statistical analysis, data pivots, predictive modeling, and designing scalable data solutions.
- High attention to detail with an unwavering commitment to data accuracy and quality.
- Self-motivated and proactive with strong communication skills and ability to deliver insights effectively to both technical and non-technical audiences across the organization.
What makes this role worth considering
You’ll work in a hybrid environment with three days per week in the Toronto office (Tuesday-Thursday) to collaborate and solve problems together, with flexibility the remainder of the week. Docebo values competitive compensation, holistic wellbeing programs supporting physical, mental, and financial health, and a culture built on trust, empowerment, and transparency with over 900 team members worldwide.
How to apply
Use the Apply button to view the official job posting and submit your application on Docebo's careers site.
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