Top Real Estate Data & Analytics Jobs in Charlotte, NC

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.

The Data Business Analyst will lead data-related projects, ensure data integrity, manage cross-functional teams, and deliver reports while maintaining Salesforce data accuracy.

The Senior Data Architect will design and implement data architecture strategies, integrating Oracle EBS with cloud services, overseeing data governance, and collaborating with cross-functional teams to optimize data workflows.

Aggregate, verify, and maintain commercial real estate datasets; analyze market metrics (vacancy, absorption, rents, comps); produce quarterly reports; support broker valuations, pitches, and field research; collaborate with GIS and IT teams and present findings to local offices.

The Business Analyst will support integration projects, maintain data formats, provide documentation, and ensure compliance with industry standards while collaborating with clients and internal teams.

Conduct public records research (county recorder/assessor/GIS) to identify home sales and parcel owners for new-home communities, update the company database, and report findings via a web portal to a Regional Research Manager. Part-time, remote role with flexible schedule.

The Senior Manager will lead a team in advanced analytics, providing insights to support business decisions and drive marketplace growth.

Lead analytical projects, develop quantitative models, analyze datasets for insights, and translate findings into business recommendations, primarily supporting client decision-making.

Senior technical leader responsible for designing and implementing scalable Databricks/Azure data architectures, building high-scale pipelines, embedding across teams to unblock delivery, mentoring engineers, and defining engineering standards and best practices for enterprise data platforms.

As a Data Engineering Architect, lead the transformation of data engineering into a modern platform, oversee architecture and technical leadership, design scalable systems, ensure data quality and governance, and mentor teams for a data-driven culture.