Top Data Analysis Jobs in Boston, MA

The Lead Quantitative Analytics Associate conducts statistical analyses and builds predictive models, responding to business needs and enhancing existing models. They work with large datasets, ensuring data management and model maintenance, while communicating insights effectively within the organization.

The Associate Director will lead economic modeling projects, manage teams, and engage in business development, focusing on innovative healthcare therapies.

As a Data Analyst at Wellthy, you will analyze data, create reports, and integrate AI tools to improve efficiency in data workflows and decision-making.

The Principal Clinical Data Science Lead will oversee data science methodologies in clinical research, manage teams, and ensure data insights support clinical development.

The Data Conversion Business Analyst will identify business requirements, support data migration, conduct data analysis, validate results, and manage documentation.

As a Data Analyst, you will develop production-grade data models, manage business metrics, and ensure data quality and usability across teams.

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.

The Quality Analyst drives data-informed decision-making for solar projects by analyzing KPI data, implementing best practices, and ensuring compliance.

Lead end-to-end credit risk analytics to inform underwriting, pricing, and product strategy. Build forecasting, unit-economics, and loss‑forecast models; design and analyze live tests; develop and implement credit policy; partner with cross-functional teams and external partners; apply AI-assisted analytics; and automate credit decisioning to balance growth with portfolio health.

As a Senior Syndicated Data Analyst, you'll be responsible for data production, analysis, maintaining databases, and generating client reports. You'll handle multiple projects while addressing quality and efficiency issues, ensuring accurate data processing with proprietary software applications.