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Hybrid · Toronto
Contribute to the design, development, and support of data and AI products to provide actionable business insights. Partner with stakeholders to translate requirements into technical designs and build automation frameworks to accelerate delivery.
Hybrid · Toronto
Contribute to the design, development, and support of data and AI products to provide actionable business insights. Partner with stakeholders to translate requirements into technical designs and build automation frameworks to accelerate delivery.
On-site · Toronto
The role involves analyzing and interpreting data to identify actionable insights that drive business growth within Commercial Banking. Responsibilities include building data pipelines, developing machine learning models, and presenting findings to senior management.
Hybrid · Montréal
Design and evolve a lakehouse data platform using Snowflake and dbt to provide reliable, governed data products for analytics and dashboards. Migrate legacy ETL processes to modern streaming pipelines and ensure high data quality through robust governance and automated testing.
Remote · Canada, United States
The Data Analyst will use AI-enabled tools and SQL/Python to generate insights that improve player engagement, retention, and monetization for Marvel Strike Force. They will own recurring business-health reporting and design analytics tracking for new features and experiments.
On-site · Toronto
Architect and develop high-performance real-time and batch data pipelines to power critical eBay experiences. Collaborate with Data Science and Product teams to translate complex requirements into scalable, reliable data solutions.