Agentic Analytics Engineer

About OpendoorAt Opendoor our mission is to tilt the world in favor of homeowners and those who aim to become one. Homeownership matters. It's how people build wealth, stability, and community. It's how families put down roots, how neighborhoods strengthen, how the future gets built. We're building the modern system of homeownership giving people the freedom to buy and sell on their own terms. We’ve built an end-to-end online experience that has already helped thousands of people and we’re just getting started.About the TeamAs 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 RoleMost 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 DoBuild Proactive Intelligence SystemsDesign and deploy AI agents that monitor business performance and surface actionable insights without being askedArchitect systems that shift analytics from "answering questions" to "anticipating needs"Create intelligent alerting that distinguishes signal from noise and recommends specific actionsCreate AI-Powered Analytics ToolsDevelop natural language interfaces that let business leaders query data conversationallyBuild semantic layers that translate business concepts into data structures optimized for LLM reasoningShip internal tools that transform how Opendoor makes decisions at every levelOwn the Analytics-to-Action PipelineDesign data models that support automated analysis, pattern detection, and AI agent interactionsBuild workflows that connect insight generation to recommended actionsEstablish feedback loops that make our AI systems smarter over timeDrive Leverage Across the BusinessIdentify high-value opportunities where AI can augment human decision-makingImplement end-to-end solutions using Claude, custom agents, and modern AI toolingMeasure impact rigorously—we care about decisions influenced, not dashboards builtWe're Looking for Teammates Who HaveTechnical Foundation5+ years of experience in analytics, data science, or data engineering, with increasing scope and ownershipExpert-level SQL with demonstrated ability to design complex data models and optimize for both human and AI consumptionStrong Python proficiency for data engineering, automation, and AI agent developmentExperience with modern data warehouses (Snowflake, BigQuery, or similar) and the broader data stack (dbt, Airflow, etc.)AI & Automation ExpertiseHands-on experience building and deploying AI agents or LLM-powered applications in productionDeep understanding of LLM capabilities, limitations, and prompt engineering best practicesExperience architecting semantic layers or natural language interfaces for data accessProven ability to identify high-ROI automation opportunities and ship end-to-end solutionsAnalytics & Business AcumenTrack record of driving measurable business impact through analytics—not just producing analyses, but influencing decisionsStrong analytical intuition—you know what questions matter before they're askedExperience translating ambiguous, cross-functional business problems into technical solutionsHistory of operating autonomously and setting direction, not just executing on defined projectsLeadership & InfluenceExperience mentoring other analysts or engineers, formally or informallyDemonstrated ability to influence senior stakeholders and drive alignment across teamsComfort operating in ambiguity and shaping strategy, not just responding to itTrack record of building systems and processes that scale beyond yourselfBuilder MindsetYou ship products, not just dashboards You'd rather build something useful in a week than something perfect in a quarterYou measure success by business impact, not technical complexityYou're energized by creating leverage—building once so others benefit foreverBonus Points If You HaveExperience in real estate, fintech, or marketplace businessesBackground in marketing analytics, sales operations, product analytics, or pricing/economicsHistory of building tools or platforms that replaced recurring analyst workExperience leading technical projects or small teamsThe base pay range for this position based on level is $186,000 - $256,000 annually, plus RSUs and bonuses. Pay within this range varies by work location and may also depend on your qualifications, job-related knowledge, skills, and experience. We also offer a comprehensive package of benefits including unlimited PTO, medical/dental/vision insurance, life insurance, and 401(k) to eligible employees.#LI-DM