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
- Strong understanding of data modeling and ETL processes
- Excellent problem-solving and communication skills
- Interest in AI/ML and modern data architectures
Become a pivotal part of Slalom's mission to create impactful customer experiences.
Senior Analytics Engineer at Slalom in Toronto employer: Slalom Build
Slalom is an exceptional employer that fosters a vibrant work culture where flexibility, connection, and recognition are paramount. With a strong focus on employee growth, our Delivery Leaders are empowered to drive impactful client outcomes while enjoying competitive benefits, including wellness programs, generous vacation time, and a commitment to continuous learning. Located in a collaborative environment, Slalom offers unique opportunities to engage with diverse teams and clients, making every day a chance to thrive and make a meaningful impact.
