Top Real Estate Data & Analytics Jobs in Boston, MA

The Director of Reporting and Data Management oversees data infrastructure for Workforce Management, establishing objectives, managing teams, ensuring data storytelling aligns with strategy, and leading predictive modeling 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.

As a P&C Actuary, you will assess risks for insurers, support audit teams, and maintain compliance with regulations, while growing client relationships and improving tools for efficiency.

The Pricing Advisor will help multifamily customers maximize revenue and optimize occupancy using revenue management software by providing strategic recommendations based on market data analysis.

As a Business Analyst II, you will act as an internal consultant to improve business processes, implement scalable solutions, and ensure data governance and reporting tools are effective for stakeholders.

The Credit Risk Manager will develop credit analytics frameworks, monitor portfolio health, drive product strategies, and automate risk processes, leveraging SQL, Python, and AI tools.