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MOO is a design-forward e-commerce and branded merchandise company founded in 2004, serving small and medium-sized businesses across North America, the UK, and Europe. The company combines premium print production with technology and sustainability, operating with over 350 employees across the UK, USA, and South Africa.
You'll join a specialized data team responsible for the analytics platform that integrates data from e-commerce, manufacturing, fulfillment, and finance systems. The team operates on a modern, warehouse-native stack built on Snowflake, dbt, and Dagster, with an ongoing initiative to establish a governed semantic layer ensuring consistent, trusted metrics across all consumption points.
As a Senior Analytics Engineer, you'll own analytical domains end-to-end. This includes collaborating with stakeholders to define metrics within the semantic layer, building and maintaining data models in dbt, and ensuring KPIs resolve to the same trusted answer across dashboards, self-service tools, and AI assistants. You'll be responsible for data quality, metric governance, and enabling reliable analytics across the organization.
The role requires strong technical skills in SQL, data modeling, and dbt, combined with the ability to translate business requirements into scalable analytical solutions. You'll work closely with data engineers, product teams, and business stakeholders to understand analytical needs and deliver trusted, governed metrics that drive decision-making.
