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

The Data Governance Manager ensures data integrity in Salesforce and other systems for Retail Media, overseeing data governance strategy and practices, improving data accuracy, and facilitating reporting for sales and marketing teams.

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

The Director of FP&A will lead budgeting, forecasting, and financial analysis, collaborating with teams to support data-driven decision-making and improve financial outcomes.

As a Product Analyst, you will analyze customer behavior and product performance, create dashboards, and support decision-making through data insights and metrics definitions, while collaborating across teams.

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 grow a casino analytics team to measure, diagnose, and optimize Casino revenue performance. Provide strategic analytics support to Revenue Operations, run deep-dive customer and promotion analyses, build scalable monitoring/alerting frameworks, translate insights into actionable recommendations, and manage an analytics roadmap prioritizing short-term wins and long-term AI-enabled strategies.