Top Real Estate Data & Analytics Jobs in Austin, TX

As an Analytics Engineer, you will design and manage the data architecture for HR Performance & Goal Management, integrating various data sources and ensuring compliance with data governance standards.

As a Senior Data Engineer, you will design and maintain scalable data models, build production data pipelines, and support analytics across various business functions.

In this role, you'll build and scale high-throughput data pipelines, ensure data quality, and leverage AI for improved data operations. You'll also lead initiatives in a fast-paced environment focused on real estate data engineering.

Lead the analytics strategy for SafeLease, overseeing data management and driving insights to inform executive decisions and operational improvements. Build and mentor a high-performing analytics team while collaborating with cross-functional partners to enhance data-driven strategies.

Lead the development of a comprehensive CRE forecasting infrastructure, integrating traditional econometric methods with AI, managing a team, and driving analytical product innovation.

The role involves managing data infrastructure, building data pipelines, providing analytics to inform business decisions, and shaping AI workflows in the organization.

Lead data transformation initiatives and establish data architecture frameworks, overseeing the design, implementation, and maintenance of the enterprise data ecosystem while providing technical leadership and direction.

The VP of Portfolio Strategy & Analytics will lead data-driven insights into asset performance, ensuring strategic capital allocation and optimizing portfolio returns. They will collaborate with various departments to enhance decision-making, reporting, and analytics infrastructure.

The Business Applications Analyst will optimize Salesforce solutions, support user adoption, and ensure seamless integration across systems to enhance customer engagement and drive revenue growth.

The Senior Analytics Engineer will build data models and dashboards, ensuring data quality and governance, while collaborating with teams to answer business questions and improve resident engagement.