Top Data & Analytics Jobs in Boston, MA

Lead design and delivery of analytics and reporting for the Infrastructure & Automation portfolio. Build dashboards, data architecture, measurement frameworks, and automated pipelines; produce executive insights, KPI tracking, self-service analytics, and ad hoc analyses to inform strategic decisions and demonstrate business impact.

The Senior Product Analyst at Toast collaborates with various teams to analyze data, develop measurement frameworks, and enhance product development through insights, dashboards, and reporting tools.

The Senior Business Intelligence Engineer will design, develop, and optimize BI dashboards and reports using Amazon QuickSight, engaging with stakeholders and mentoring junior team members.

The Senior Portfolio Lead will oversee data management services for clients, ensuring quality deliverables, strategic oversight, and optimal clinical data flows, while leading cross-functional teams and managing complex client relationships.

The Associate Director, Biostatistics is responsible for statistical guidance in clinical study design, data analysis, and regulatory submissions, leading clinical study teams to ensure timely and quality outcomes.

Seek a Lead Analytics Engineer to design and build scalable data solutions, oversee data engineering, and collaborate with cross-functional teams to meet data needs.

The intern will assist with supervisory planning, regulatory analysis, project management, and reporting within the Federal Reserve's supervisory team.

The Senior Financial Business Systems Analyst will lead system implementations, design technology solutions, and mentor team members while collaborating with Finance and Sales operations to optimize financial processes.

The Senior Revenue Operations Analyst will support go-to-market teams with insights and reporting, optimize processes, and analyze revenue trends to drive operational efficiency and revenue growth.

Lead GRS Data & Analytics technology for business insights: own executive reporting, build shared BI/MI capabilities, drive MDM adoption, ensure trusted scalable reporting, and lead a cross-functional insights team to embed analytics into business routines.