Agentic Analytics Engineer

Opendoor•Miami, FL

173d

About The Position

As a Senior+ Agentic Analytics Engineer in Opendoor’s Data organization, you will help build an Agentic Analytics team at the intersection of data science, data engineering, and AI. In a company guided by a “Default to AI” philosophy, you will develop systems that move analytics beyond reactive requests and static dashboards toward proactive intelligence that helps leaders understand what to focus on, why it matters, and what actions to take. You will design AI agents and analytics tools, create semantic layers and natural-language data interfaces, and build the data models and workflows that connect insights to action. You will identify high-value opportunities for AI to augment decision-making, deliver end-to-end solutions using Claude and other modern AI tooling, and measure success through decisions influenced and business impact.

Requirements

Experience in analytics, data science, or data engineering, with increasing scope and ownership.
Expert-level SQL and demonstrated ability to design complex data models optimized for human and AI consumption.
Strong Python proficiency for data engineering, automation, and AI agent development.
Experience with modern data warehouses such as Snowflake or BigQuery, and broader data-stack tools such as dbt and Airflow.
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.
Ability to identify high-ROI automation opportunities and deliver end-to-end solutions.
Track record of producing measurable business impact through analytics and influencing decisions.
Strong analytical intuition and ability to identify important questions proactively.
Experience translating ambiguous, cross-functional business problems into technical solutions.
History of autonomous work and setting direction, not only executing defined projects.
Experience mentoring other analysts or engineers, formally or informally.
Ability to influence senior stakeholders and drive alignment across teams.
Comfort operating in ambiguity and shaping strategy.
Track record of building systems and processes that scale beyond the individual.
A builder mindset: prioritize useful, timely products, business impact, and reusable leverage over dashboards, perfection, or technical complexity.

Nice To Haves

Experience in real estate, fintech, or marketplace businesses.
Background in marketing analytics, sales operations, product analytics, or pricing/economics.
History of building tools or platforms that replaced recurring analyst work.
Experience leading technical projects or small teams.

Responsibilities

Design and deploy AI agents that monitor business performance and proactively surface actionable insights.
Architect analytics systems that anticipate business needs rather than only answer questions.
Create intelligent alerting that distinguishes meaningful signals from noise and recommends specific actions.
Develop natural-language interfaces that allow business leaders to query data conversationally.
Build semantic layers that translate business concepts into data structures optimized for LLM reasoning.
Ship internal tools that improve decision-making across Opendoor.
Design data models for automated analysis, pattern detection, and AI agent interactions.
Build workflows connecting insight generation to recommended actions.
Establish feedback loops that improve AI systems 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, focusing on decisions influenced rather than dashboards built.
Mentor analysts or engineers, influence senior stakeholders, and help shape direction and strategy.