Top Real Estate Data & Analytics Jobs in Chicago, IL

The Actuarial Analyst will analyze and prepare insurance product filings, ensure compliance with regulations, and improve filing processes with a focus on hazard and catastrophe products.

The Senior Data Engineer will design and implement lakehouse architectures, optimize ClickHouse deployments, develop ETL/ELT pipelines, and create data models to support analytical and operational functions.

Develop and refine revenue management strategies for vacation rental properties, build reports, and train operators on performance metrics.

The Senior Data Engineer will design and maintain scalable data pipelines, lead medium-sized platform projects, and ensure reliability of data systems through monitoring and optimization. Responsibilities include working with cross-functional teams to improve data workflows and participate in incident response.

The role involves managing SitusAMC's Database Administration team, overseeing AWS RDS and EC2 databases, ensuring performance, security, and compliance with industry standards. Responsibilities include mentoring, optimizing database operations, collaborating on applications, and leading modernization efforts.

The Local SEO Manager will develop strategies to enhance online visibility, drive traffic, optimize local search strategies, and align SEO with paid media efforts, utilizing various SEO tools and techniques.

As a Staff Software Engineer in Data Engineering, you will design, build, and optimize robust data systems to ensure data quality, performance, and stability, while mentoring team members and collaborating with cross-functional teams.

The role involves analyzing retail POS data, delivering insights to clients, and managing client relationships while utilizing AI tools for analysis.

The Senior Data Analyst is responsible for executing data strategy, analyzing data, documenting requirements, and collaborating with stakeholders to provide insights and validate data quality within the enterprise data platform.

Lead marketing data science efforts, overseeing analytics and machine learning strategies to enhance user acquisition, engagement, and retention. Mentor a team and communicate data insights to executives to influence marketing and budget decisions.