Senior Analytics Engineer - AI & Data Modeling

Job Overview And Responsibility

About the Role We're looking for a Senior Analytics Engineer to build the data foundations that power AI-driven business intelligence. You'll design semantic layers, metrics frameworks, and data models that enable both business users and AI systems to extract insights from production data. This role combines traditional analytics engineering (dbt, SQL, data modeling) with emerging AI capabilities (LLM integration, natural language analytics). You'll work at the intersection of data engineering, business intelligence, and AI—building the intelligent data layer that makes complex analytics accessible through natural language. If you love building clean data models and want to explore how AI can transform how people interact with data, this role is for you. - Design and maintain analytical data models and transformations using dbt, SQL, and modern data stack tools - Build semantic layers (metrics, dimensions, business definitions) that translate raw data into business concepts - Create metrics frameworks and dimensional models (star schemas, fact tables, dimension tables) - Integrate semantic layers with LLM-powered analytics agents for natural language querying - Develop metadata retrieval systems that ground AI reasoning in your data models - Collaborate with AI/ML teams to evolve analytics capabilities into intelligent, multi-step workflows - Ensure data quality, lineage, and governance across analytical datasets