AI Analytics Engineer
Core
Build semantic models, context layers, and guardrails for an AI-native analytics platform (ChatDash/MCP) to ensure accurate data answers for both humans and AI agents.
Role type
AI-Native Analytics Engineer
Builds
Internal conversational BI platform (ChatDash) and Microsoft Fabric data platform
Domain
Fitness equipment retail / Enterprise Data & AI
Deliverable
production ML models
Required skills
Semantic modeling, AI agent integration, data pipeline construction, automated testing/reconciliation, metric definition, data quality evaluation
Preferred skills
AI coding assistants, agentic control plane design
Technologies
Microsoft Fabric, MCP (Model Context Protocol), Claude, ChatDash
Responsibilities
Build pipelines to model data from sources into Fabric; create semantic models and context layers for AI agents; define certified metrics and guardrails; implement automated testing and reconciliation; validate AI-generated answers for accuracy.
Seniority
Mid-Senior, hands-on IC