Top Hybrid Data & Analytics Jobs in Boston, MA

Lead data science projects to optimize drug development using AI. Develop models for patient selection and clinical trial evaluations while collaborating with cross-functional teams to drive insights.

The Principal Data Analyst will manage paid media analytics and operations, ensuring data quality, compliance, and actionable insights while collaborating with media buyers to improve performance and ROI.

The AI Architect will develop AI architecture strategies, frameworks, and governance to enhance MassMutual's digital capabilities, collaborating with various stakeholders for implementation.

The Senior Platform Engineer will support Workday functional configurations, improve processes, and provide troubleshooting and documentation for HR technology solutions.

The Manager of Media Analytics & Optimization will lead media performance measurement, drive insights for decision-making, and foster collaboration with senior stakeholders, while utilizing skills in analytics and AI.

Design and execute biostatistical components for clinical development from first-in-human through Phase 4. Collaborate with clinicians and scientists on study design, analysis, reporting, and regulatory-compliant statistical activities. Prepare reports, presentations, manuscripts, and contribute to methodology research and team strategy.

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.

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.