Agentic Analytics Engineer

Senior Level 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 Hands-on experience building and deploying AI agents or LLM-powered applications in production Deep understanding of LLM capabilities, limitations, and prompt engineering best practices Experience architecting semantic layers or natural language interfaces for data access Proven ability to identify high-ROI automation opportunities and ship end-to-end solutions Analytics Business Acumen Track record of driving measurable business impact through analytics—not just producing analyses, but influencing decisions Strong analytical intuition—you know what questions matter before they're asked Experience translating ambiguous, cross-functional business problems into technical solutions History of operating autonomously and setting direction, not just executing on defined projects Leadership Influence Experience mentoring other analysts or engineers, formally or informally Demonstrated ability to influence senior stakeholders and drive alignment across teams Comfort operating in ambiguity and shaping strategy, not just responding to it Track record of building systems and processes that scale beyond yourself Builder Mindset You ship products, not just dashboards You'd rather build something useful in a week than something perfect in a quarter You measure success by business impact, not technical complexity You're energized by creating leverage—building once so others benefit forever Bonus Points I ... (truncated, view full listing at source)