Top Senior Data & Analytics Jobs in Boston, MA

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.

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.

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

As a Lead Analyst, you'll use data insights to improve sportsbook operations, evaluate A/B tests, and influence strategic decision-making. You'll partner with teams to analyze customer behavior, build dashboards, and present findings.

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 Manager of Business Analytics will develop brand measurement strategies and lead media effectiveness analysis to optimize marketing investment and drive member growth.

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.

The Sr. Analytics Engineer will design and maintain analytics data for marketing insights, transforming raw data into usable datasets while collaborating with teams to ensure data integrity and scalability.

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.

The Data Engineer III designs and optimizes data pipelines, supports data initiatives, ensures data quality, and collaborates across teams to develop BI solutions and documentation.