Agentic Analytics Engineer, Opendoor

• 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.)
• 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
• 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
• 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
• 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
• Background in marketing analytics, sales operations, product analytics, or pricing/economics

Desirable

• 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
• 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
• 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
• 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
• 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
• 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