Top Hybrid Data & Analytics Jobs in Boston, MA

As a Senior Data Analyst in Marketing Analytics, you will analyze data, build dashboards, and form insights to influence marketing and sales strategies. This high-visibility role collaborates with key stakeholders and requires strong technical skills in data modeling and visualization.

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.

The role involves managing performance marketing campaigns, analyzing data for insights, and collaborating on strategy for mid-funnel growth.

As a Decision Analytics Associate Consultant, you will apply advanced bioinformatics techniques to analyze multi-omics datasets, develop bioinformatics workflows, and collaborate with interdisciplinary teams to deliver insights for life science challenges.

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.

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.

The Manager of Ontology and Data Modeling develops and maintains enterprise ontologies, collaborates with teams across Capital One, and advocates for semantic technology integration in products and services.

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 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.