Staff Analytics Engineer

🕒 April 1

🇺🇸 United States – Remote

💵 $180k - $220k / year

⏰ Full Time

🔴 Lead

📊 Analytics Engineer

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Luxury Presence

WebsiteLinkedInAll Job Openings

201 - 500 employees

🏠 Real Estate

Real Estate • Marketing

Luxury Presence is a company that specializes in providing real estate professionals with top-tier digital solutions. They offer award-winning real estate website designs and expert marketing solutions aimed at helping agents, teams, and brokerages grow their business and build their brand. Their platform includes tools for IDX home search, property websites, digital CMA, SEO services, content marketing, advertising, and social media management. Trusted by over 20 of the top 100 Wall Street Journal agents, Luxury Presence empowers real estate professionals to attract more business through beautiful and functional digital experiences.

📋 Description

• Own and evolve a tool-agnostic analytics layer powering business decisions. • Design and maintain scalable, well-modeled datasets using dbt, Snowflake, and a semantic layer—transforming raw data into trusted, high-quality metrics used across Product, GTM, Finance, and Operations. • Partner deeply with analysts and business stakeholders. • Collaborate with Data Analysts, Product, and business leaders to define metrics, enable self-service analytics, and deliver insights that directly impact decision-making and product development. • Drive data quality, consistency, and trust at scale. • Implement robust testing, monitoring, and validation frameworks to ensure data accuracy and reliability, while standardizing metric definitions across the organization. • Build data products and AI-powered analytics systems. • Develop systems such as AI-driven support ticket classification and contribute to building an AI agent that can act as a Data Analyst—leveraging the semantic layer to answer business questions and generate insights.

🎯 Requirements

• 8+ years in analytics engineering, data engineering, or related roles, including time operating at a large scale or leading cross-functional initiatives. • Deep proficiency with dbt, including building and maintaining large-scale transformation layers and reusable models. • Strong SQL skills and a background working with Snowflake or similar cloud data warehouses. • Designing and operating scalable semantic layers to provide consistent, reliable metric definitions across the organization. • Expertise in designing modular, scalable data architectures (e.g., Kimball or OBT) that balance query performance with ease of use for downstream analysts. • A history of building data quality frameworks, testing strategies, and monitoring for analytics datasets. • Building data products or internal tools while partnering with product and business teams to define metrics and drive decisions. • Expert-level grasp of software design principles and a deep understanding of multi-tenant platform architectures. • Proven track record leading high-impact analytics initiatives from concept through delivery.