Elevate your analytics career with Slalom as a Senior Analytics Engineer. This hybrid role focuses on data modeling, AI integration, and delivering user-centric analytics solutions.
As a Senior Analytics Engineer, you will have 3–5 years of experience to design and modernize semantic layers, develop data-rich applications, and optimize data models. Collaborate with teams to ensure data quality and develop unique analytics experiences that matter to clients.
Key Responsibilities:
• Design and modernize semantic layers for self-service analytics
• Develop applications integrating standard and open-source technologies
• Facilitate design sessions translating insights into data models




• Collaborate with stakeholders on data quality and usability
• Implement best practices for analytics and data governance
Requirements:
• 3–5 years in analytics or data engineering
• Proficiency in SQL and Python; experience with analytics platforms
• Robust understanding of data modeling and ETL processes
• Excellent problem-solving and communication skills
• Interest in AI/ML and up-to-date data architectures
Become a pivotal part of Slalom's mission to create impactful customer experiences.
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📌 Senior Analytics Engineer At Slalom Toronto
🏢 Slalom Build
📍 Toronto