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Follow →MOO is seeking an analytics engineer or data analyst to own analytical domains end-to-end. You will define metrics in the semantic layer, model data in dbt, and ensure a single trusted answer across dashboards and AI tools.
You'll collaborate with stakeholders across operations, finance, and supply chain, with a focus on governance, data literacy, and scalable analytics in a modern cloud warehouse environment.
MOO is looking for an analytics engineer or data analyst to own end-to-end analytical domains, modelling data and defining metrics in the semantic layer. You will work with data from e-commerce and manufacturing, using…
MOO is all about making great design available to everyone. We do that by producing premium print and branded merchandise. But it’s as much about how we do it, leading with design, technology and sustainability.…
Designs and owns analytical domains end-to-end, defining metrics in a governed semantic layer (dbt/Snowflake) and ensuring consistent, trusted data across dashboards, self-service tools, and AI systems for an e-commerce/print brand.
Owns end-to-end analytical domains: defines metrics in a governed semantic layer (dbt/Snowflake), models data, and ensures consistent KPIs across dashboards and AI tools.
Builds and deploys ML/AI models on Azure and Dynamics to analyze data and guide strategic decisions for a Canadian software-testing services provider.
Senior Analytics Engineer builds and maintains dbt models, a semantic layer, and Snowflake warehouse infrastructure for Alloy’s AI-powered identity and fraud prevention platform, collaborating with data science, product, and engineering teams.