Agentic Analytics Engineer

Job Description

About the Team As a Senior+ Agentic Analytics Engineer at Opendoor, you will join the Data organization and help build something that doesn't exist at most companies: an Agentic Analytics team. This is a high-impact IC role at the intersection of data science, data engineering, and AI. Opendoor has adopted a "Default to AI" philosophy—if AI can handle it, AI should handle it. We're not theorizing about AI transformation; we're shipping it. Why This Role Most analytics teams are stuck in reactive mode—fielding ad-hoc requests and building dashboards that go stale. We're building something different: AI systems that proactively tell leaders what they should focus on, why it matters, and what to do about it. If you want to define what analytics looks like in an AI-first company, this is it. What You'll Do Build Proactive Intelligence Systems Design and deploy AI agents that monitor business performance and surface actionable insights without being asked Architect systems that shift analytics from "answering questions" to "anticipating needs" Create intelligent alerting that distinguishes signal from noise and recommends specific actions Create AI-Powered Analytics Tools Develop natural language interfaces that let business leaders query data conversationally Build semantic layers that translate business concepts into data structures optimized for LLM reasoning Ship internal tools that transform how Opendoor makes decisions at every level Own the Analytics-to-Action Pipeline Design data models that support automated analysis, pattern detection, and AI agent interactions Build workflows that connect insight generation to recommended actions Establish feedback loops that make our AI systems smarter over time Drive Leverage Across the Business Identify high-value opportunities where AI can augment human decision-making Implement end-to-end solutions using Claude, custom agents, and modern AI tooling Measure impact rigorously—we care about decisions influenced, not dashboards built We're Looking for Teammates Who Have Technical Foundation 5+ years of experience in analytics, data science, or data engineering, with increasing scope and ownership Expert-level SQL with demonstrated ability to design complex data models and optimize for both human and AI consumption Strong Python proficiency for data engineering, automation, and AI agent development Experience with modern data warehouses (Snowflake, BigQuery, or similar) and the broader data stack (dbt, Airflow, etc.) AI & Automation Expertise</strong

Required Skills