Top Hybrid Senior Level Data & Analytics Jobs in Boston, MA

The Senior Partner Sales Operations Manager will manage sales pipeline and forecast, oversee compensation plans, analytics, and facilitate cross-functional collaboration to support ISV sales operations.

The actuary will conduct complex analyses, recommend actuarial assumptions, support governance committees, communicate findings, and enhance analytics processes.

Lead the integration of advanced imaging analytics and AI in drug development, focusing on medical image analysis and clinical trials.

As a Clinical Data Manager, you'll lead data governance for clinical studies, ensuring data integrity, compliance, and readiness for analysis. You'll manage data architecture, oversee database operations, and collaborate with cross-functional teams to enhance clinical data processes.

Manager of Data Platform Engineering responsible for ensuring data reliability, leading a data engineering team, setting platform standards, and collaborating with internal stakeholders to enhance data capabilities.

Lead and develop an analytics team supporting Casino Revenue Operations. Drive measurement, monitoring, and optimization of casino performance through deep-dive analyses, scalable alerting frameworks, stakeholder recommendations, and an analytics roadmap aligned to business impact.

Lead end-to-end analytics for Veterinary Diet, Science Diet, and Health & Wellness businesses. Build self-service dashboards, define KPIs, run deep-dive analyses, partner with technical and category teams, and deliver insights that improve customer experience and financial P&L.

The Advanced Analytics Manager will drive growth at ZS by applying technical expertise to drug discovery, managing projects, and building client relationships.

The Manager of Advanced Analytics & Automation leads the strategic analytics and AI automation initiatives for customer intelligence, building data models, insights, and automation workflows to enhance customer success and retention.

The role involves leading teams to develop AI solutions addressing sustainability challenges, managing client accounts, and upholding ethical standards in technology integration.