Top Senior Data & Analytics Jobs in Boston, MA

The Senior Insights Manager for Commercial Intelligence drives market insights to inform strategies in marketing, pricing, and product development, collaborating across teams to leverage data for growth opportunities and risks.

The Senior Data Analyst will analyze consumer engagement and growth metrics, build dashboards, and provide actionable insights to drive marketing and product strategies.

Lead and grow an analytics engineering team to deliver scalable data models and reporting for Product, Marketing, Finance, and other stakeholders. Drive BI platform vision, collaborate with Product and Data Governance, prioritize work, implement agile practices, and ensure high data quality and performant transformations.

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 Director of Marketing Analytics leads a team of analysts, drives marketing strategy through data insights, oversees measurement and experimentation, and fosters cross-functional collaboration.

Lead development and monitoring of debit-card fraud strategies, tools, and controls. Analyze data, build fraud rules, partner with vendors and product teams, report losses and trends, and drive reductions in fraud through data-driven solutions and compliance with risk policies.

The Director of Biostatistics leads a team in clinical research, developing statistical plans, collaborating across departments, and ensuring regulatory compliance.

The Director Statistical Programming leads statistical programming services, manages teams, and provides consultation on statistical analyses, ensuring client deliverables meet quality expectations.

Lead the People Analytics team to develop data tools for decision making, manage data governance, and collaborate with diverse teams for effective people data usage.

Transform Electronic Health Records (EHR) data into structured assets, build scalable data pipelines, and apply Generative AI techniques for analytics within a healthcare-focused team.