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 governanceRequirements:
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 contemporary data architecturesBecome a pivotal part of Slalom's mission to create impactful customer experiences.#J-18808-Ljbffr

📌 Senior Analytics Engineer At Slalom Toronto
🏢 Slalom Build
📍 Toronto