Top Data & Analytics Jobs in Boston, MA

Support cross-functional teams by driving data-driven decisions: design and analyze A/B tests, leverage ML models for insights, define growth levers, and automate operational processes to scale customer acquisition and partnerships.

The role involves complex analyses to improve portfolio risk and fraud prevention, managing multiple projects, and collaborating with business partners to enhance fraud policies and procedures.

The Junior Business Analyst will translate business requirements into technical solutions, develop prototypes, manage data integration, and collaborate with teams to enhance investment decision-making.

The Technical Business Analyst role gathers and documents reporting/data requirements, develops test cases, and coordinates with Supply Chain Business Users.

The Senior Analyst will conduct research on AI governance, create reports, consult with clients, lead Forrester reports, and present at events to support data and AI leaders.

The Research Librarian provides research and reference services using financial and legal databases to support consulting staff in casework and business development.

Develop predictive models using data science and machine learning, work with data preparation and cloud resources, and solve complex problems.

Lead commercial analytics for the Prostate Cancer franchise: analyze sales and market data, deliver actionable insights, drive advanced analytics projects, build performance narratives, partner cross-functionally, implement dashboards (PowerBI), and manage vendors and budget to support U.S. brand strategy.

Support North American sales by preparing, validating, and reconciling standardized sales performance reports and dashboards. Monitor commercial metrics, respond to ad hoc reporting requests, support commission and quota reporting, maintain data integrity across systems, and collaborate with cross-functional teams to resolve data issues and document processes.

Work with R&D Data Science & Digital Health teams to apply data science and analytics engineering to research questions. Contribute to projects improving patient care through predictive modeling, analysis of large healthcare datasets, and development of digital health solutions. Collaborate cross-functionally, follow software development best practices, and gain hands-on experience in cloud, GPU, and high-performance computing environments.